Triple

T10379719
Position Surface form Disambiguated ID Type / Status
Subject Rangeley Lake E244604 entity
Predicate nearbySettlement P350 FINISHED
Object Rangeley, Maine E57195 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: Rangeley, Maine | Statement: [Rangeley Lake, nearbySettlement, Rangeley, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rangeley, Maine
Context triple: [Rangeley Lake, nearbySettlement, Rangeley, Maine]
  • A. Rangeley, Maine chosen
    Rangeley, Maine is a small resort town in western Maine known for its lakes, outdoor recreation, and scenic mountain surroundings.
  • B. Passadumkeag, Maine
    Passadumkeag, Maine is a small rural town in Penobscot County known for its location along the Penobscot River in eastern Maine.
  • C. Norridgewock, Maine
    Norridgewock, Maine is a small town in central Maine known for its rural character, historic ties to early Native American and colonial settlements, and location along the Kennebec River.
  • D. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • E. Shapleigh, Maine
    Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e991056c8190a981f717c51f1f72 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69fde158a5a48190b3945945f94f97a0 completed May 8, 2026, 1:12 p.m.
Created at: April 6, 2026, 12:03 p.m.