Triple
T649122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles City Attorney |
E11305
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Neighborhood Prosecutor Program
The Neighborhood Prosecutor Program is a community-based initiative of the Los Angeles City Attorney’s Office that assigns prosecutors to specific neighborhoods to address local quality-of-life and public safety issues through proactive, collaborative problem-solving.
|
E81208
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Neighborhood Prosecutor Program | Statement: [Los Angeles City Attorney, hasDepartment, Neighborhood Prosecutor Program]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neighborhood Prosecutor Program Context triple: [Los Angeles City Attorney, hasDepartment, Neighborhood Prosecutor Program]
-
A.
New York Problem-Solving Courts
New York Problem-Solving Courts are specialized judicial courts in New York that focus on addressing the underlying issues—such as addiction, mental health, or family conflict—contributing to criminal behavior through treatment-oriented and community-based interventions.
-
B.
Innocence Project at UVA School of Law
The Innocence Project at UVA School of Law is a legal clinic in which law students, supervised by faculty and attorneys, investigate and litigate potential wrongful convictions to seek exoneration for incarcerated individuals.
-
C.
Criminal Defense Center
The Criminal Defense Center is a specialized division of Japan’s national bar association that focuses on supporting and improving criminal defense practice and policy.
-
D.
Criminal Justice Act (CJA) representation program
The Criminal Justice Act (CJA) representation program is a federal system that provides court-appointed legal counsel and related defense services to indigent defendants in U.S. federal criminal cases.
-
E.
Drug-Free Communities Support Program
The Drug-Free Communities Support Program is a federal grant initiative that funds and supports local community coalitions in their efforts to prevent youth substance use across the United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Neighborhood Prosecutor Program Triple: [Los Angeles City Attorney, hasDepartment, Neighborhood Prosecutor Program]
Generated description
The Neighborhood Prosecutor Program is a community-based initiative of the Los Angeles City Attorney’s Office that assigns prosecutors to specific neighborhoods to address local quality-of-life and public safety issues through proactive, collaborative problem-solving.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neighborhood Prosecutor Program Target entity description: The Neighborhood Prosecutor Program is a community-based initiative of the Los Angeles City Attorney’s Office that assigns prosecutors to specific neighborhoods to address local quality-of-life and public safety issues through proactive, collaborative problem-solving.
-
A.
New York Problem-Solving Courts
New York Problem-Solving Courts are specialized judicial courts in New York that focus on addressing the underlying issues—such as addiction, mental health, or family conflict—contributing to criminal behavior through treatment-oriented and community-based interventions.
-
B.
Innocence Project at UVA School of Law
The Innocence Project at UVA School of Law is a legal clinic in which law students, supervised by faculty and attorneys, investigate and litigate potential wrongful convictions to seek exoneration for incarcerated individuals.
-
C.
Criminal Defense Center
The Criminal Defense Center is a specialized division of Japan’s national bar association that focuses on supporting and improving criminal defense practice and policy.
-
D.
Criminal Justice Act (CJA) representation program
The Criminal Justice Act (CJA) representation program is a federal system that provides court-appointed legal counsel and related defense services to indigent defendants in U.S. federal criminal cases.
-
E.
Drug-Free Communities Support Program
The Drug-Free Communities Support Program is a federal grant initiative that funds and supports local community coalitions in their efforts to prevent youth substance use across the United States.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f31e70c81909a2ac1d939f7ec07 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a58039191481908b11bfadb36f0c13 |
completed | March 2, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_69a5826e8b4081908523f552045e4e91 |
completed | March 2, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a583113320819080feea6882d3bff5 |
completed | March 2, 2026, 12:31 p.m. |
Created at: March 1, 2026, 7:36 p.m.