Triple

T15215302
Position Surface form Disambiguated ID Type / Status
Subject Garment Center E363622 entity
Predicate near P350 FINISHED
Object Times Square E471 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: Times Square | Statement: [Garment Center, near, Times Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Times Square
Context triple: [Garment Center, near, Times Square]
  • A. Times Square chosen
    Times Square is a major commercial and entertainment hub in Midtown Manhattan, famous for its bright billboards, Broadway theaters, and New Year’s Eve ball drop.
  • B. 4 Times Square
    4 Times Square is a prominent skyscraper in Midtown Manhattan known for its early adoption of green building technologies and its large illuminated signage in Times Square.
  • C. 11 Times Square
    11 Times Square is a prominent high-rise office tower in Manhattan’s Times Square district, known for its modern, sustainable design and prime commercial location.
  • D. One Times Square
    One Times Square is a famous skyscraper in New York City best known as the site of the annual New Year’s Eve ball drop in Times Square.
  • E. Times Square South
    Times Square South is a bustling commercial and entertainment district in Midtown Manhattan, New York City, known for its theaters, hotels, and proximity to the Broadway theater area.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076e4348819091fa91c1562e7c5c completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2f86688190bafdfe72033eda90 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:11 a.m.