Triple

T9781292
Position Surface form Disambiguated ID Type / Status
Subject WPIX E237378 entity
Predicate hasStudiosIn P90621 FINISHED
Object Manhattan E8787 NE FINISHED

How this triple was built (3 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: Manhattan | Statement: [WPIX, hasStudiosIn, Manhattan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manhattan
Context triple: [WPIX, hasStudiosIn, Manhattan]
  • A. Manhattan chosen
    Manhattan is the densely populated, iconic core borough of New York City, known for its skyscrapers, cultural institutions, and role as a global financial and media center.
  • B. Manhattan
    The Manhattan is a classic whiskey-based cocktail, traditionally made with rye or bourbon, sweet vermouth, and bitters, and typically served stirred and garnished with a cherry.
  • C. New York City
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • D. NYC
    NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
  • E. Brooklyn
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStudiosIn
Context triple: [WPIX, hasStudiosIn, Manhattan]
  • A. hasStudio
    Indicates that an entity (such as a film, game, or production) is associated with or produced by a particular studio.
  • B. hasNeighboringStudios
    Indicates that one studio is located adjacent to or in close proximity to another studio.
  • C. hasLargestStudio
    Indicates that one entity possesses the studio that is largest in size or capacity relative to other comparable studios.
  • D. numberOfStudios
    Indicates the total count of studios associated with a given entity.
  • E. majorStudio
    Indicates that an entity is a large, primary film or media production and distribution company within the entertainment industry.
  • F. None of above. chosen

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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc389c248190ac10adfc49a1240d completed April 5, 2026, 2:43 a.m.
PD Predicate disambiguation batch_69cd03d77c6c81909b675955bf113320 completed April 1, 2026, 11:39 a.m.
PDg Predicate description generation batch_69cd06aa8bc88190904be19c8953def8 completed April 1, 2026, 11:51 a.m.
Created at: March 30, 2026, 8:27 p.m.