Triple

T11502285
Position Surface form Disambiguated ID Type / Status
Subject Bronx County E272690 entity
Predicate contains P35 FINISHED
Object Woodlawn E41042 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: Woodlawn | Statement: [Bronx County, contains, Woodlawn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodlawn
Context triple: [Bronx County, contains, Woodlawn]
  • A. Woodlawn
    Woodlawn is an unincorporated community and suburb of Baltimore known for hosting several major federal agency offices, including the Social Security Administration headquarters.
  • B. Woodlawn chosen
    Woodlawn is a residential neighborhood in the northern Bronx of New York City, known for its strong Irish-American community and proximity to the historic Woodlawn Cemetery.
  • C. Woodlawn
    Woodlawn is a historic, predominantly residential neighborhood on Chicago’s South Side known for its proximity to the University of Chicago and Jackson Park.
  • D. Woodlawn Park
    Woodlawn Park is a small residential town located within the Oklahoma City metropolitan area in central Oklahoma.
  • E. Walnut Hill
    Walnut Hill is a residential neighborhood in West Philadelphia known for its early 20th-century rowhouses and proximity to several universities.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de55cbc8190be71c2d03dc044f2 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604bc1d3c81908497f1d19dcc2167 completed April 20, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:36 p.m.