Triple

T5804405
Position Surface form Disambiguated ID Type / Status
Subject Bridgeton E128705 entity
Predicate hasName P744 FINISHED
Object Bridgeton E258455 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: Bridgeton | Statement: [Bridgeton, hasName, Bridgeton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgeton
Context triple: [Bridgeton, hasName, Bridgeton]
  • A. Bridgeton
    Bridgeton is a small historic city in southern New Jersey known for its diverse community and extensive park system, including one of the largest municipal parks in the state.
  • B. Bridgeton, Missouri
    Bridgeton, Missouri is a suburban city in the Greater St. Louis metropolitan area known for its residential communities, commercial centers, and proximity to major transportation routes and the St. Louis Lambert International Airport.
  • C. Bridgeton, New Jersey chosen
    Bridgeton, New Jersey is a small historic city in Cumberland County known for its preserved Victorian architecture, large city park, and role as a regional center in South Jersey.
  • D. Mebanesville
    Mebanesville was the original name of the city now known as Mebane in North Carolina.
  • E. Treichville
    Treichville is a vibrant, historically significant district of Abidjan in Côte d'Ivoire, known for its bustling markets, nightlife, and cultural life.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1304588190b59a18fb7b70a60f completed March 22, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09836d00881908c210b2932d67519 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.