Triple

T3521185
Position Surface form Disambiguated ID Type / Status
Subject Lake station E74424 entity
Predicate serves P98 FINISHED
Object Chicago Loop E31883 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: Chicago Loop | Statement: [Lake station, serves, Chicago Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago Loop
Context triple: [Lake station, serves, Chicago Loop]
  • A. Chicago Loop chosen
    Chicago Loop is the central business district and historic downtown core of Chicago, known for its skyscrapers, theaters, parks, and major cultural attractions.
  • B. West Loop
    West Loop is a trendy Chicago neighborhood known for its transformed industrial warehouses, vibrant dining scene, and proximity to the Fulton Market District.
  • C. River North, Chicago
    River North, Chicago is a vibrant downtown neighborhood known for its art galleries, nightlife, dining scene, and converted warehouse lofts just north of the Loop.
  • D. Lincoln Square
    Lincoln Square is a major mixed-use shopping, dining, and entertainment complex located in downtown Bellevue, Washington.
  • E. Lincoln Square
    Lincoln Square is a Manhattan neighborhood centered around the Lincoln Center for the Performing Arts, known for its cultural institutions, upscale residences, and proximity to Central Park.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4c6ac8819096e9c773f3cccbfb completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503d9643881909737836640c22802 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:19 p.m.