Triple

T2843905
Position Surface form Disambiguated ID Type / Status
Subject New Haven County E62535 entity
Predicate hasMajorCity P316 FINISHED
Object Waterbury E97186 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: Waterbury | Statement: [New Haven County, hasMajorCity, Waterbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterbury
Context triple: [New Haven County, hasMajorCity, 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. Bridgeport
    Bridgeport is a coastal industrial city in southwestern Connecticut known for its historic manufacturing base and diverse urban population.
  • 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 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.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1a07508190be35fe85733ddeed completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b54c16c05481908f451b492ca9f47f completed March 14, 2026, 11:52 a.m.
Created at: March 6, 2026, 10:02 p.m.