Triple

T8721330
Position Surface form Disambiguated ID Type / Status
Subject Midcoast Maine E207017 entity
Predicate hasPart P35 FINISHED
Object Friendship, Maine E387835 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: Friendship, Maine | Statement: [Midcoast Maine, hasPart, Friendship, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friendship, Maine
Context triple: [Midcoast Maine, hasPart, Friendship, Maine]
  • A. Friendship, Maine chosen
    Friendship, Maine is a small coastal town in Knox County known for its historic fishing and lobstering heritage and picturesque harbor.
  • B. Brownfield, Maine
    Brownfield, Maine is a small rural town in western Maine known for its scenic landscapes, outdoor recreation, and proximity to the White Mountains.
  • C. Shapleigh, Maine
    Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
  • D. Rockwood, Maine
    Rockwood, Maine is a small unincorporated community and popular outdoor recreation gateway on the western shore of Moosehead Lake in north-central Maine.
  • E. Crystal, Maine
    Crystal, Maine is a small rural town located in northern Aroostook County known for its forested landscape and quiet, remote character.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d03f0848190a50c77e5cd028ee7 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28f599a481908e93bc5b5c41296e completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:36 p.m.