Triple

T20879149
Position Surface form Disambiguated ID Type / Status
Subject Biograph Theater E514097 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Lincoln Park NE NERFINISHED

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: Lincoln Park | Statement: [Biograph Theater, locatedInNeighborhood, Lincoln Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln Park
Context triple: [Biograph Theater, locatedInNeighborhood, Lincoln Park]
  • A. Lincoln Park
    Lincoln Park is a public recreational park located in Marion, Ohio.
  • B. Lincoln Park chosen
    Lincoln Park is a large, historic lakefront park in Chicago known for its green spaces, beaches, cultural institutions, and the free Lincoln Park Zoo.
  • C. Lincoln Park
    Lincoln Park is a residential neighborhood in the city of Yonkers, New York, known for its suburban character and proximity to New York City.
  • D. Lincoln Park
    Lincoln Park is a notable public park in Mexico City’s Miguel Hidalgo borough, known for its green spaces, cultural attractions, and recreational areas.
  • E. Lincoln Park
    Lincoln Park is a coastal San Francisco park known for its scenic bluffs, golf course, and cultural attractions overlooking the Golden Gate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c678b394819096a17de9e04cd74f completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:45 p.m.