Triple

T6587035
Position Surface form Disambiguated ID Type / Status
Subject Saco, Maine, United States E159250 entity
Predicate borderedBy P224 FINISHED
Object Dayton, Maine E527164 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: Dayton, Maine | Statement: [Saco, Maine, United States, borderedBy, Dayton, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dayton, Maine
Context triple: [Saco, Maine, United States, borderedBy, Dayton, Maine]
  • A. Dayton, Maine chosen
    Dayton, Maine is a small rural town in southern Maine known for its quiet residential character and location along the Saco River in York County.
  • B. Dresden, Maine
    Dresden, Maine is a small rural town in Lincoln County known for its historic character and scenic location along the Kennebec River.
  • C. Durham, Maine
    Durham, Maine is a small rural town in southern Maine known for its quiet residential character and proximity to the Lewiston–Auburn and Portland metropolitan areas.
  • D. Trenton, Maine
    Trenton, Maine is a small coastal town in Hancock County that serves as a gateway to Mount Desert Island and Acadia National Park.
  • E. Mapleton, Maine
    Mapleton, Maine is a small rural town in northern Maine known for its agricultural landscape and location within Aroostook 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeafd2848190bb51e3ea9711c803 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51147c4c8190b3c893700f48fc54 completed April 3, 2026, 5:33 a.m.
Created at: March 27, 2026, 1:55 p.m.