Triple

T10314663
Position Surface form Disambiguated ID Type / Status
Subject Denmark, Maine E241984 entity
Predicate borders P224 FINISHED
Object Naples, Maine E445639 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: Naples, Maine | Statement: [Denmark, Maine, borders, Naples, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naples, Maine
Context triple: [Denmark, Maine, borders, Naples, Maine]
  • A. Naples, Maine chosen
    Naples, Maine is a small resort town in the Lakes Region of western Maine known for its waterfront recreation on Long Lake and Brandy Pond.
  • B. Palermo, Maine
    Palermo, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
  • C. Waterford, Maine
    Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
  • D. Winslow, Maine
    Winslow, Maine is a small town in Kennebec County known for its rural character, historic sites, and location along the Kennebec River in central Maine.
  • E. Northport, Maine
    Northport, Maine is a small coastal town in Waldo County known for its scenic Penobscot Bay shoreline and historic summer community of Bayside.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d35b7c688190b68613f28b5511bc completed April 7, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bab66488190a465e40f1181506e completed May 8, 2026, 3:42 a.m.
Created at: April 6, 2026, 11:48 a.m.