Triple

T1225010
Position Surface form Disambiguated ID Type / Status
Subject Old Comiskey Park E26306 entity
Predicate cityDistrict P2709 FINISHED
Object Bridgeport E54929 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: Bridgeport | Statement: [Old Comiskey Park, cityDistrict, Bridgeport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgeport
Context triple: [Old Comiskey Park, cityDistrict, Bridgeport]
  • A. Bridgeport chosen
    Bridgeport is a historic, working-class neighborhood on Chicago’s South Side known for its strong ethnic communities and proximity to the city’s major sports venues.
  • B. Bridgeport
    Bridgeport is a coastal industrial city in southwestern Connecticut known for its historic manufacturing base and diverse urban population.
  • C. Bridgeport
    Bridgeport is a small unincorporated community in California’s Eastern Sierra region, known for its historic courthouse, scenic high-altitude valley, and access to outdoor recreation such as fishing, hiking, and hot springs.
  • D. West Haven
    West Haven is a coastal city in southern Connecticut known for its public beaches and shoreline along Long Island Sound.
  • E. Waterbury
    Waterbury is a historic industrial city in western Connecticut known for its former prominence in brass manufacturing and its nickname "The Brass City."
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be382c4081909238c18b805352a7 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69aea82191408190892e9a8e12504a8f completed March 9, 2026, 10:59 a.m.
Created at: March 1, 2026, 7:47 p.m.