Triple

T2054282
Position Surface form Disambiguated ID Type / Status
Subject Eastern Maine E45638 entity
Predicate containsTown P847 FINISHED
Object Orono, Maine E65873 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: Orono, Maine | Statement: [Eastern Maine, containsTown, Orono, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orono, Maine
Context triple: [Eastern Maine, containsTown, Orono, Maine]
  • A. Orono, Maine chosen
    Orono, Maine is a small town in Penobscot County best known as the home of the University of Maine’s flagship campus.
  • B. Gardiner, Maine
    Gardiner, Maine is a small historic city in central Maine located along the Kennebec River, known for its preserved downtown and 19th-century architecture.
  • C. Madison, Maine
    Madison, Maine is a small town in central Maine known for its rural character, historic mill industry, and location along the Kennebec River.
  • D. Orono
    Orono is a small rural village in Ontario, Canada, known for its historic downtown, agricultural surroundings, and community events.
  • E. Orono
    Orono is a suburban city in Minnesota known for its affluent residential communities and scenic location along the north shore of Lake Minnetonka.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9a8518081909ba95a8ef9321f12 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69c0a127b0e48190880ee84f45bed359 completed March 23, 2026, 2:10 a.m.
Created at: March 4, 2026, 7:39 p.m.