Triple

T5902277
Position Surface form Disambiguated ID Type / Status
Subject Kesteven E131255 entity
Predicate containsSettlement P847 FINISHED
Object Stamford E306293 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: Stamford | Statement: [Kesteven, containsSettlement, Stamford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stamford
Context triple: [Kesteven, containsSettlement, Stamford]
  • A. Stamford chosen
    Stamford is a historic market town in eastern England renowned for its well-preserved medieval and Georgian architecture.
  • B. Stamford, Connecticut
    Stamford, Connecticut is a major city in southwestern Connecticut known as a key financial and corporate hub within the New York metropolitan area.
  • C. West Haven
    West Haven is a coastal city in southern Connecticut known for its public beaches and shoreline along Long Island Sound.
  • D. Hamden
    Hamden is a suburban town in south-central Connecticut, known for its proximity to New Haven and as the home of Quinnipiac University.
  • E. 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.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03735e6f8819084eded3b45f5e4ed completed March 22, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d583f75c819083cb0dcdf265d735 completed April 5, 2026, 3:22 a.m.
Created at: March 22, 2026, 3:58 p.m.