Triple

T11566448
Position Surface form Disambiguated ID Type / Status
Subject Turn Every Page E274263 entity
Predicate setInPart P100367 FINISHED
Object New York City E40 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: New York City | Statement: [Turn Every Page, setInPart, New York City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New York City
Context triple: [Turn Every Page, setInPart, New York City]
  • A. New York City chosen
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • B. NYC
    NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
  • C. New York
    New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
  • D. 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.
  • E. Manhattan
    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.
  • 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: setInPart
Context triple: [Turn Every Page, setInPart, New York City]
  • A. setInEvent
    Indicates that an entity is situated within, occurs during, or is contextually located in a particular event.
  • B. setInState
    Indicates that an entity is located within, or belongs to, a particular state or state-level jurisdiction.
  • C. setInStudio
    Indicates that an entity is located, placed, or takes place within a studio environment.
  • D. setInto
    Indicates placing or inserting one entity into another entity or context, often initiating a new state or condition.
  • E. setsIn
    Indicates that one entity places or positions another entity into or within a specified container, location, or context.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd4305c8190ac5ff490b6b63e12 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7580c508190a81eadd9015c75ef completed April 21, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69d85dc3fc2c8190bed7e2111301a77c completed April 10, 2026, 2:17 a.m.
PDg Predicate description generation batch_69d87f2e67108190ac36bf47aac12fa8 completed April 10, 2026, 4:40 a.m.
Created at: April 8, 2026, 9:37 p.m.