Triple

T3543593
Position Surface form Disambiguated ID Type / Status
Subject CTA Blue Line E74942 entity
Predicate hasStation P35 FINISHED
Object Oak Park E24164 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: Oak Park | Statement: [CTA Blue Line, hasStation, Oak Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oak Park
Context triple: [CTA Blue Line, hasStation, Oak Park]
  • A. Oak Park
    Oak Park is a public recreational park located in Stockton, California, offering green space and outdoor amenities for the local community.
  • B. Oak Park, Illinois chosen
    Oak Park, Illinois is a historic suburb just west of Chicago known for its Frank Lloyd Wright architecture, vibrant arts scene, and diverse, walkable neighborhoods.
  • C. Bellwood Park
    Bellwood Park is a popular riverside recreation area in Nambucca Heads, New South Wales, known for its scenic views, picnic spots, and water-based activities.
  • D. Lake Forest
    Lake Forest is a suburban city in Orange County, California, known for its residential communities, parks, and proximity to major Southern California employment centers.
  • E. Elmwood Park
    Elmwood Park is a residential neighborhood in Philadelphia, Pennsylvania, known for its diverse community and urban rowhouse character.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf752dd481909226044ffe595338 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74872582c81908c64a9bf925f67c6 completed March 28, 2026, 3:18 a.m.
Created at: March 8, 2026, 3:20 p.m.