Triple

T3199437
Position Surface form Disambiguated ID Type / Status
Subject Northern Maine E67012 entity
Predicate hasSettlement P1068 FINISHED
Object Fort Kent E6034 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: Fort Kent | Statement: [Northern Maine, hasSettlement, Fort Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Kent
Context triple: [Northern Maine, hasSettlement, Fort Kent]
  • A. Fort Kent, Maine chosen
    Fort Kent, Maine is a small town in northern Aroostook County known for its location at the Canadian border and as a gateway to the North Maine Woods.
  • B. Airmont
    Airmont is Intel’s low-power CPU microarchitecture designed as an energy-efficient evolution of its Atom line, primarily used in mobile and compact computing devices.
  • C. Mapleton
    Mapleton is a small rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its scenic views, rainforest walks, and proximity to Mapleton Falls National Park.
  • D. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • E. Winslow
    Winslow is an English-origin surname historically associated with early colonial families in New England.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9ad4b1c8190bc6ad0f025f238c8 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3b7e5c48190a8fc84ae78d4bd66 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:07 p.m.