Triple

T18809601
Position Surface form Disambiguated ID Type / Status
Subject October Mountain E459972 entity
Predicate near P350 FINISHED
Object Pittsfield, Massachusetts NE NERFINISHED

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: Pittsfield, Massachusetts | Statement: [October Mountain, near, Pittsfield, Massachusetts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pittsfield, Massachusetts
Context triple: [October Mountain, near, Pittsfield, Massachusetts]
  • A. Pittsfield, Massachusetts chosen
    Pittsfield, Massachusetts is a small city in western Massachusetts that serves as a cultural and economic hub within the scenic Berkshire region.
  • B. Pittsfield
    Pittsfield is a small town located within Otsego County in the central region of New York State.
  • C. Paxton, Massachusetts
    Paxton, Massachusetts is a small residential town in Worcester County known for its rural character and proximity to the city of Worcester.
  • D. Pelham, Massachusetts
    Pelham, Massachusetts is a small rural town in western Massachusetts known for its historic meetinghouse and location within the Connecticut River’s Pioneer Valley region.
  • E. Springfield, Massachusetts
    Springfield, Massachusetts is a historic city in western Massachusetts known as the birthplace of basketball and a former industrial and transportation hub along the Connecticut River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3db38ec8190ab5bef15bc6789be completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.