Triple

T4003855
Position Surface form Disambiguated ID Type / Status
Subject original World Trade Center E89476 entity
Predicate alsoKnownAs P39 FINISHED
Object WTC E299510 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: WTC | Statement: [original World Trade Center, alsoKnownAs, WTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WTC
Context triple: [original World Trade Center, alsoKnownAs, WTC]
  • A. WTC chosen
    WTC is a common abbreviation for Johann Sebastian Bach’s influential keyboard collection "The Well-Tempered Clavier."
  • B. 5 WTC
    5 WTC is a planned mixed-use skyscraper to be built at the World Trade Center site in Lower Manhattan, New York City.
  • C. 4 World Trade Center
    4 World Trade Center is a modern glass-and-steel skyscraper in Lower Manhattan, New York City, forming part of the rebuilt World Trade Center complex.
  • D. 3 World Trade Center
    3 World Trade Center is a modern skyscraper in Lower Manhattan that forms part of the rebuilt World Trade Center complex in New York City.
  • E. China World Trade Center
    China World Trade Center is a major commercial complex in Beijing known for its high-end offices, hotels, and shopping facilities, serving as a key business hub in the city.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa5de98c8190a95b21a75fffdef3 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5562455a0819097fb6a566f2d387a completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:34 p.m.