Triple

T11948198
Position Surface form Disambiguated ID Type / Status
Subject Western Connecticut E284356 entity
Predicate contains P35 FINISHED
Object Bethel, Connecticut E63088 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: Bethel, Connecticut | Statement: [Western Connecticut, contains, Bethel, Connecticut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethel, Connecticut
Context triple: [Western Connecticut, contains, Bethel, Connecticut]
  • A. Bethel, Connecticut chosen
    Bethel, Connecticut is a suburban New England town in Fairfield County known for its historic downtown and role as a residential community near Danbury.
  • B. Bethany, Connecticut
    Bethany, Connecticut is a small, rural residential town in New Haven County known for its open space, farms, and quiet, wooded character.
  • C. Bethlehem, Connecticut
    Bethlehem, Connecticut is a small rural town in Litchfield County known for its historic New England character and popular Christmas-themed attractions.
  • D. Salem, Connecticut
    Salem, Connecticut is a small rural town in southeastern Connecticut known for its forests, farms, and quiet residential character.
  • E. Burlington, Connecticut
    Burlington, Connecticut is a small, rural New England town in Hartford County known for its scenic woodlands, reservoirs, and outdoor recreation opportunities.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90346825c8190ab4482a1fc8eed56 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180bd1e5c8190a6a96581ce8a37de completed May 11, 2026, 7:09 a.m.
Created at: April 8, 2026, 9:45 p.m.