Triple

T3543551
Position Surface form Disambiguated ID Type / Status
Subject CTA Blue Line E74942 entity
Predicate terminus P388 FINISHED
Object Forest Park station E166064 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: Forest Park station | Statement: [CTA Blue Line, terminus, Forest Park station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Forest Park station
Context triple: [CTA Blue Line, terminus, Forest Park station]
  • A. Forest Park station chosen
    Forest Park station is a Chicago Transit Authority rapid transit station in Forest Park, Illinois, serving as the western endpoint of the Blue Line.
  • B. Snelling Avenue Station
    Snelling Avenue Station is a light rail stop in Saint Paul, Minnesota, serving the METRO Green Line and providing access to nearby neighborhoods and commercial areas.
  • C. Memorial Park station
    Memorial Park station is a light rail station on the Los Angeles Metro A Line serving the Old Pasadena area in Pasadena, California.
  • D. North Avenue station
    North Avenue station is a transit stop on Baltimore's Light Rail system serving the North Avenue corridor in Baltimore, Maryland.
  • E. North Avenue station
    North Avenue station is a major elevated rail station in Quezon City, Philippines, serving as a key commuter hub on Manila’s MRT Line 3.
  • 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_69b57f0989c88190b4c675c7a6ec0e3e completed March 14, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:20 p.m.