Triple

T8637906
Position Surface form Disambiguated ID Type / Status
Subject New York City Department of Citywide Administrative Services E204567 entity
Predicate serviceArea P82 FINISHED
Object Brooklyn E5446 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: Brooklyn | Statement: [New York City Department of Citywide Administrative Services, serviceArea, Brooklyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brooklyn
Context triple: [New York City Department of Citywide Administrative Services, serviceArea, Brooklyn]
  • A. Brooklyn
    Brooklyn is a residential suburb within the Milnerton area of Cape Town, South Africa.
  • B. Brooklyn chosen
    Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and iconic landmarks like the Brooklyn Bridge.
  • C. Brooklyn
    Brooklyn is a small inner-ring suburb of Cleveland located in Cuyahoga County, Ohio.
  • D. Brooklyn
    Brooklyn is a historic, primarily residential neighborhood in inner southeast Portland, Oregon, known for its close-in location, community feel, and mix of older homes and light industrial areas.
  • E. Brooklyn
    Brooklyn is a former New Zealand parliamentary electorate that existed in Wellington and was represented in the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4763b6dc81908de979e6d8158bd9 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb26dd048190bd7e4de4ae986b32 completed April 2, 2026, 6:53 p.m.
Created at: March 30, 2026, 6:28 p.m.