Triple

T104597
Position Surface form Disambiguated ID Type / Status
Subject New York City Landmark E2111 entity
Predicate shortName P43 FINISHED
Object NYC Landmark E2111 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: NYC Landmark | Statement: [New York City Landmark, shortName, NYC Landmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NYC Landmark
Context triple: [New York City Landmark, shortName, NYC Landmark]
  • A. New York City Landmark chosen
    A New York City Landmark is an officially designated site, structure, or object recognized for its special historical, cultural, or architectural significance within New York City.
  • B. 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.
  • C. City of Big Shoulders
    City of Big Shoulders is a poetic nickname for Chicago that evokes its history as a powerful industrial and working-class metropolis.
  • D. New York City
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • E. New York City park system
    The New York City park system is an extensive network of public parks, playgrounds, and green spaces across the five boroughs, including iconic landscapes like Central Park and Prospect Park.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256aaed108190ba12e36364d30ede completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c1f48608190905a83f369bf1e56 completed Feb. 28, 2026, 4:16 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.