Triple

T356921
Position Surface form Disambiguated ID Type / Status
Subject Bangor metropolitan area E7564 entity
Predicate principalCity P3940 FINISHED
Object Bangor, Maine E18442 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: Bangor, Maine | Statement: [Bangor metropolitan area, principalCity, Bangor, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangor, Maine
Context triple: [Bangor metropolitan area, principalCity, Bangor, Maine]
  • A. Bangor, Maine chosen
    Bangor, Maine is a small city in eastern Maine known as a regional commercial and cultural hub and famously associated with author Stephen King.
  • B. Bethel, Maine
    Bethel, Maine is a small town in western Maine known for its outdoor recreation, proximity to the White Mountains, and role as a gateway to nearby ski areas like Sunday River.
  • C. Farmington, Maine
    Farmington, Maine is a small town in western Maine that serves as the service and cultural center of Franklin County and is home to the University of Maine at Farmington.
  • D. Skowhegan, Maine
    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.
  • E. Harrison, Maine
    Harrison, Maine is a small town in western Maine known for its lakeside setting and recreational opportunities in Oxford County.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebaf0c9881909313f98818e7fa58 completed Feb. 28, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a424e0d88190b0ad5d0827b762ae completed March 1, 2026, 8:40 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.