Triple

T11363057
Position Surface form Disambiguated ID Type / Status
Subject Cerritos E269132 entity
Predicate neighboringCity P988 FINISHED
Object Norwalk E127638 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: Norwalk | Statement: [Cerritos, neighboringCity, Norwalk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwalk
Context triple: [Cerritos, neighboringCity, Norwalk]
  • A. Norwalk chosen
    Norwalk is a suburban city in southeastern Los Angeles County, California, known as a residential community and transit hub near the eastern terminus of the Metro C Line.
  • B. Norwalk
    Norwalk is a coastal city in southwestern Connecticut known for its maritime heritage, harbor, and proximity to Long Island Sound.
  • C. Norwalk
    Norwalk is a small suburban city in central Iowa, located just south of Des Moines.
  • D. Norwalk
    Norwalk is a small city in northern Ohio that serves as the county seat of Huron County and a regional center for local history and culture.
  • E. East Haven
    East Haven is a coastal town in southern Connecticut, located just east of the city of New Haven along Long Island Sound.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea442e5c8190babfde25540b27e9 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603bbb84c81908a29fcef32d3cf31 completed April 20, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:33 p.m.