Triple

T12753132
Position Surface form Disambiguated ID Type / Status
Subject Waterbury campus E304784 entity
Predicate primaryCityServed P82 FINISHED
Object Waterbury 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: Waterbury | Statement: [Waterbury campus, primaryCityServed, Waterbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterbury
Context triple: [Waterbury campus, primaryCityServed, Waterbury]
  • A. Waterbury chosen
    Waterbury is a historic industrial city in western Connecticut known for its former prominence in brass manufacturing and its nickname "The Brass City."
  • B. Naugatuck
    Naugatuck is a borough and town in Connecticut known for its industrial history and location along the Naugatuck River.
  • C. Meriden
    Meriden is a village and civil parish in the West Midlands of England, historically known as a traditional contender for the geographical centre of England.
  • D. Meriden
    Meriden is a city in central Connecticut known for its historic silver manufacturing industry and landmarks like Castle Craig in Hubbard Park.
  • E. Hamden
    Hamden is a suburban town in south-central Connecticut, known for its proximity to New Haven and as the home of Quinnipiac University.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
Created at: April 9, 2026, 5:27 p.m.