Triple

T7341130
Position Surface form Disambiguated ID Type / Status
Subject Sandisfield, Massachusetts E169248 entity
Predicate hasVillage P4011 FINISHED
Object Sandisfield Center E131182 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: Sandisfield Center | Statement: [Sandisfield, Massachusetts, hasVillage, Sandisfield Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandisfield Center
Context triple: [Sandisfield, Massachusetts, hasVillage, Sandisfield Center]
  • A. Sandisfield, Massachusetts
    Sandisfield, Massachusetts is a small rural town in Berkshire County known for its forests, lakes, and quiet, scenic character in western Massachusetts.
  • B. Sandisfield chosen
    Sandisfield is a small rural town in southwestern Massachusetts known for its forests, reservoirs, and quiet, sparsely populated landscape.
  • C. Litchfield center
    Litchfield center is the main village and historic town center of Litchfield, Connecticut, serving as the area’s civic and commercial hub.
  • D. Seabury Center
    Seabury Center is a major athletic and wellness facility at Berea College that supports physical education, recreation, and sports programs for students and the campus community.
  • E. Valley Fields
    Valley Fields is a fictional London suburb in P. G. Wodehouse’s stories, known as the setting for many of his comic novels and intertwined character adventures.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0da176081909a40552c6f22087c completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef294f608190ae2ccd45a1ca213a completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:04 p.m.