Triple
T29370565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Linden |
E744840
|
entity |
| Predicate | policeDepartmentDivision |
P174711
|
FINISHED |
| Object | Homicide division |
—
|
NE NERFINISHED |
How this triple was built (2 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: Homicide division | Statement: [Sarah Linden, policeDepartmentDivision, Homicide division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeDepartmentDivision Context triple: [Sarah Linden, policeDepartmentDivision, Homicide division]
-
A.
policeDepartmentType
Indicates the specific organizational category or classification of a police department (e.g., municipal, state, federal).
-
B.
policeBorough
Indicates that a police force, unit, or station has jurisdiction over or is associated with a specific borough.
-
C.
policePrecinct
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
-
D.
cityDepartment
Indicates that one entity is a department that operates within, or is administratively part of, a particular city.
-
E.
policeBureau
Indicates that an entity functions as or is associated with a police bureau or police department.
- F. None of above. chosen
Provenance (4 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c49069e48190a3486b6254a6645b |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 28, 2026, 2:26 p.m.