Triple

T35327316
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Fire Department E1020223 entity
Predicate operatedBy P86 FINISHED
Object City of Brooklyn government
The City of Brooklyn government was the municipal authority that administered public services, law enforcement, and local governance for the independent city of Brooklyn before its consolidation into New York City.
E2136018 NE FINISHED

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: City of Brooklyn government | Statement: [Brooklyn Fire Department, operatedBy, City of Brooklyn government]
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: City of Brooklyn government
Triple: [Brooklyn Fire Department, operatedBy, City of Brooklyn government]
Generated description
The City of Brooklyn government was the municipal authority that administered public services, law enforcement, and local governance for the independent city of Brooklyn before its consolidation into New York City.

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_69f76deacf4481908e7735a5a7715b0a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7910c9b4481908611e33904c754ab completed May 3, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3823c2ae188190aadd9ff62694d372 completed June 21, 2026, 5:47 p.m.
NEDg Description generation batch_6a3824ae9a6c819092d832eff5eda1b1 completed June 21, 2026, 5:51 p.m.
NED2 Entity disambiguation (via description) batch_6a38259e02008190a092861c82d08363 completed June 21, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:03 p.m.