Triple

T5088250
Position Surface form Disambiguated ID Type / Status
Subject Sugar Hill E114689 entity
Predicate setInLocation P40 FINISHED
Object Harlem E72644 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: Harlem | Statement: [Sugar Hill, setInLocation, Harlem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlem
Context triple: [Sugar Hill, setInLocation, Harlem]
  • A. Harlem chosen
    Harlem is a historic neighborhood in Upper Manhattan, New York City, renowned as a major African-American cultural and artistic center, especially noted for the Harlem Renaissance.
  • B. West Harlem
    West Harlem is a neighborhood in the northern part of Manhattan in New York City, known for its rich African-American cultural history and diverse residential communities.
  • C. Harlem Valley
    Harlem Valley is a scenic river valley in southeastern New York known for its rural landscapes, small towns, and historic rail corridor.
  • D. East Harlem
    East Harlem is a neighborhood in Upper Manhattan, New York City, historically known for its large Puerto Rican and Latino communities and rich cultural and political activism.
  • E. Banksville, New York
    Banksville, New York is a small hamlet in Westchester County known for its semi-rural character and location near the Connecticut border.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75219a94819094fc54c1df448470 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb144a6108190a20bb6d9dc6bf676 completed March 21, 2026, 2:55 p.m.
Created at: March 20, 2026, 1:40 p.m.