Triple

T17531376
Position Surface form Disambiguated ID Type / Status
Subject Vienna, Maine E426941 entity
Predicate region P40 FINISHED
Object Central Maine NE NERFINISHED

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: Central Maine | Statement: [Vienna, Maine, region, Central Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Maine
Context triple: [Vienna, Maine, region, Central Maine]
  • A. Midcoast Maine
    Midcoast Maine is a scenic coastal region of Maine known for its rocky shoreline, historic harbor towns, and maritime heritage.
  • B. central Maine chosen
    Central Maine is a largely rural region of the state characterized by small towns, forests, lakes, and serving as a transitional area between the more urban south and the northern wilderness.
  • C. 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.
  • D. Southern Maine
    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.
  • 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 (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453688950819098162d853cd2674e completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.