Triple
T8893867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYC DOF |
E211753
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
DOF
DOF is the commonly used abbreviation for the New York City Department of Finance, the municipal agency responsible for administering the city’s revenue and tax collection.
|
E765096
|
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: DOF | Statement: [NYC DOF, abbreviation, DOF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DOF Context triple: [NYC DOF, abbreviation, DOF]
-
A.
DOF
DOF is the acronym for the California Department of Finance, the state agency responsible for preparing the governor’s budget and overseeing California’s financial and economic policies.
-
B.
DOF
DOF is the Philippine government’s Department of Finance, responsible for managing the country’s fiscal policy, revenues, and public finances.
-
C.
DOF
DOF is the official government gazette of Mexico in which federal laws, decrees, regulations, and official notices are published.
-
D.
Depth of Field
Depth of Field is a film and television production company co-founded by actor Tobey Maguire, known for producing a range of independent and studio-backed projects.
-
E.
Aperture
Aperture was Apple’s professional photo editing and management application for macOS, aimed at photographers needing advanced workflow and image processing tools.
- 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: DOF Triple: [NYC DOF, abbreviation, DOF]
Generated description
DOF is the commonly used abbreviation for the New York City Department of Finance, the municipal agency responsible for administering the city’s revenue and tax collection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DOF Target entity description: DOF is the commonly used abbreviation for the New York City Department of Finance, the municipal agency responsible for administering the city’s revenue and tax collection.
-
A.
DOF
DOF is the acronym for the California Department of Finance, the state agency responsible for preparing the governor’s budget and overseeing California’s financial and economic policies.
-
B.
DOF
DOF is the official government gazette of Mexico in which federal laws, decrees, regulations, and official notices are published.
-
C.
DOF
DOF is the Philippine government’s Department of Finance, responsible for managing the country’s fiscal policy, revenues, and public finances.
-
D.
Depth of Field
Depth of Field is a film and television production company co-founded by actor Tobey Maguire, known for producing a range of independent and studio-backed projects.
-
E.
Aperture
Aperture was Apple’s professional photo editing and management application for macOS, aimed at photographers needing advanced workflow and image processing tools.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bc92c881908aab536af9b35178 |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabf795b08190bb4c45d6ede3b8b4 |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfad1782848190ae3d9f6f53803adc |
completed | April 3, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfadf4c1fc81908df957dc0a6308dc |
completed | April 3, 2026, 12:09 p.m. |
Created at: March 30, 2026, 6:54 p.m.