Triple

T3470823
Position Surface form Disambiguated ID Type / Status
Subject Piscataquis County, Maine E73253 entity
Predicate contains P35 FINISHED
Object Greenville, Maine E690196 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: Greenville, Maine | Statement: [Piscataquis County, Maine, contains, Greenville, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenville, Maine
Context triple: [Piscataquis County, Maine, contains, Greenville, Maine]
  • A. Greenville, Maine chosen
    Greenville, Maine is a small town in Piscataquis County that serves as the primary gateway and service hub to Maine’s remote Moosehead Lake wilderness region.
  • B. Greenwood, Maine
    Greenwood, Maine is a small rural town in Oxford County known for its scenic lakes, forests, and outdoor recreation in western Maine.
  • C. Georgetown, Maine
    Georgetown, Maine is a small coastal town in Sagadahoc County known for its fishing heritage, scenic shoreline, and popular Reid State Park.
  • D. Woodville, Maine
    Woodville, Maine is a small rural town located in Penobscot County in the central part of the state.
  • E. Greenfield, Maine
    Greenfield, Maine is a small rural town located in Penobscot County in the central part of the state.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3af0cc81909e575828caeaeae0 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1aef47b908190a7aff84fbf2759db completed April 5, 2026, 12:38 a.m.
Created at: March 8, 2026, 3:17 p.m.