Triple

T9440374
Position Surface form Disambiguated ID Type / Status
Subject Great Pond E227628 entity
Predicate locatedIn P40 FINISHED
Object central Maine E41882 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: central Maine | Statement: [Great Pond, locatedIn, central Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Maine
Context triple: [Great Pond, locatedIn, central Maine]
  • A. 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.
  • 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. 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.
  • D. Midcoast Maine
    Midcoast Maine is a scenic coastal region of Maine known for its rocky shoreline, historic harbor towns, and maritime heritage.
  • E. 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.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee36f908190826994db91b18466 completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1105dc6b48190bd6c7d932d9f48d5 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.