Triple

T16055002
Position Surface form Disambiguated ID Type / Status
Subject Beardsley Zoo E389456 entity
Predicate location P40 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: [Beardsley Zoo, location, Bridgeport, Connecticut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgeport, Connecticut
Context triple: [Beardsley Zoo, location, Bridgeport, Connecticut]
  • A. Bridgeport chosen
    Bridgeport is a coastal industrial city in southwestern Connecticut known for its historic manufacturing base and diverse urban population.
  • B. 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.
  • C. Bridgeport
    Bridgeport is a small city in Wise County, Texas, known for its historic downtown and proximity to Lake Bridgeport.
  • D. 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.
  • E. Bridgeport
    Bridgeport is a small rural city in western Nebraska that serves as a local agricultural and community hub.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183744eac8190946c12d58496bf61 completed April 17, 2026, 12:48 a.m.
Created at: April 10, 2026, 4:56 a.m.