Triple

T4631389
Position Surface form Disambiguated ID Type / Status
Subject Monroe station E101424 entity
Predicate locatedIn P40 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: [Monroe station, locatedIn, Chicago Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago Loop
Context triple: [Monroe station, locatedIn, 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. Old Town, Chicago
    Old Town, Chicago is a historic Near North Side neighborhood known for its preserved Victorian-era architecture, vibrant Wells Street commercial strip, and longstanding arts and entertainment scene.
  • E. Lincoln Square
    Lincoln Square is a major mixed-use shopping, dining, and entertainment complex located in downtown Bellevue, Washington.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a32d6408190962e60b9bce7560d completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfabeba3c8190b6515b99746f62a6 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.