Triple

T20421064
Position Surface form Disambiguated ID Type / Status
Subject Fairfield metropolitan area E500850 entity
Predicate containsCity P294 FINISHED
Object Bridgeport, Connecticut NE NERFINISHED

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, Connecticut | Statement: [Fairfield metropolitan area, containsCity, Bridgeport, Connecticut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgeport, Connecticut
Context triple: [Fairfield metropolitan area, containsCity, Bridgeport, Connecticut]
  • A. Bridgeport
    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 chosen
    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 rural city in western Nebraska that serves as a local agricultural and community hub.
  • D. Bridgeport
    Bridgeport is a mixed residential and commercial neighborhood in Richmond, British Columbia, known for its proximity to major transportation routes and the Fraser River.
  • E. Bridgeport
    Bridgeport is a small city in Wise County, Texas, known for its historic downtown and proximity to Lake Bridgeport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba479008190bf6d31ee79f3a401 completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.