Triple

T30560845
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Transportation Authority Police Department E777834 entity
Predicate hasDivision P35 FINISHED
Object Training Bureau
The Training Bureau is the division of the Metropolitan Transportation Authority Police Department responsible for educating, preparing, and certifying officers in law enforcement skills and procedures.
E1922224 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: Training Bureau | Statement: [Metropolitan Transportation Authority Police Department, hasDivision, Training Bureau]
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: Training Bureau
Triple: [Metropolitan Transportation Authority Police Department, hasDivision, Training Bureau]
Generated description
The Training Bureau is the division of the Metropolitan Transportation Authority Police Department responsible for educating, preparing, and certifying officers in law enforcement skills and procedures.

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_69f2249ed41c8190b175170ecfd6e1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f688d92b748190a69e5b66ace513be completed May 2, 2026, 11:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2856f6d6108190b784d17331941139 completed June 9, 2026, 6:09 p.m.
NEDg Description generation batch_6a2858941f488190b44e942eed9a57e6 completed June 9, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_6a28593b6d588190ac80f643ecd8efeb completed June 9, 2026, 6:19 p.m.
Created at: April 29, 2026, 8:21 p.m.