Triple

T10569821
Position Surface form Disambiguated ID Type / Status
Subject Portland metropolitan area E249448 entity
Predicate populationCenterOf P2106 FINISHED
Object southern Maine E48893 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: southern Maine | Statement: [Portland metropolitan area, populationCenterOf, southern Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: southern Maine
Context triple: [Portland metropolitan area, populationCenterOf, southern Maine]
  • A. Southern Maine chosen
    Southern Maine is the coastal and largely rural southern portion of the U.S. state of Maine, encompassing its most populous cities and economic centers.
  • B. eastern Maine
    Eastern Maine is a largely rural region of the state of Maine centered around the city of Bangor, which serves as its primary economic and cultural hub.
  • C. Midcoast Maine
    Midcoast Maine is a scenic coastal region of Maine known for its rocky shoreline, historic harbor towns, and maritime heritage.
  • D. Northern Maine
    Northern Maine is a sparsely populated, heavily forested region of the state known for its potato farming, outdoor recreation, and long, harsh winters.
  • E. western Maine
    Western Maine is a largely rural, mountainous region of Maine known for its forests, lakes, and outdoor recreation areas, including parts of the Appalachian Mountains.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52730fd4481908b3f4eb80ca209f2 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e7396a4819082cc73c736636fb9 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:37 p.m.