Triple

T3489505
Position Surface form Disambiguated ID Type / Status
Subject Skowhegan Dam E73690 entity
Predicate municipality P852 FINISHED
Object Skowhegan E15921 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: Skowhegan | Statement: [Skowhegan Dam, municipality, Skowhegan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skowhegan
Context triple: [Skowhegan Dam, municipality, Skowhegan]
  • A. Skowhegan, Maine chosen
    Skowhegan, Maine is a small town in central Maine known as the seat of Somerset County and for its historic downtown along the Kennebec River.
  • B. Newburgh, Maine
    Newburgh, Maine is a small rural town in central Maine known for its agricultural character and quiet residential community.
  • C. Bucksport, Maine
    Bucksport, Maine is a small historic town on the Penobscot River known for its waterfront, views of Fort Knox, and role as a former mill and shipbuilding community.
  • D. Bingham, Maine
    Bingham, Maine is a small rural town in central Maine known for its outdoor recreation opportunities along the Kennebec River.
  • E. Kenduskeag, Maine
    Kenduskeag, Maine is a small rural town in central Maine known for its quiet residential character and proximity to the Kenduskeag Stream.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb92b3ac8190b8675f5a5e9d4408 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69d29964080881909fd07de536667fbd completed April 5, 2026, 5:18 p.m.
Created at: March 8, 2026, 3:18 p.m.