Triple

T2580825
Position Surface form Disambiguated ID Type / Status
Subject Meatpacking District E57085 entity
Predicate borderedBy P224 FINISHED
Object Chelsea E219895 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: Chelsea | Statement: [Meatpacking District, borderedBy, Chelsea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea
Context triple: [Meatpacking District, borderedBy, Chelsea]
  • A. Chelsea
    Chelsea is a small, densely populated city in Massachusetts located just across the Mystic River from downtown Boston.
  • B. Chelsea chosen
    Chelsea is a neighborhood on Manhattan’s West Side in New York City, known for its art galleries, nightlife, and historic architecture.
  • C. Chelsea F.C.
    Chelsea F.C. is a professional English football club based in West London that competes in the Premier League and is known for its domestic and European successes.
  • D. Arsenal
    "Arsenal" is a 1929 Soviet silent film directed by Oleksandr Dovzhenko, renowned as a key work of the Soviet montage movement depicting the turmoil of the Ukrainian–Soviet War.
  • E. Arsenal F.C.
    Arsenal F.C. is a major professional football club based in North London, renowned for its rich history, attacking style of play, and status as one of England’s most successful and popular teams.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c6da888190ba7abfe37d182602 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf3f4c2c8190b9e91b30068bb1c5 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:49 p.m.