Triple

T3376933
Position Surface form Disambiguated ID Type / Status
Subject Oxford Hills region E71086 entity
Predicate hasTown P847 FINISHED
Object Waterford, Maine E597299 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: Waterford, Maine | Statement: [Oxford Hills region, hasTown, Waterford, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterford, Maine
Context triple: [Oxford Hills region, hasTown, Waterford, Maine]
  • A. Waterford, Maine chosen
    Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
  • B. 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.
  • C. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • D. Sanford, Maine
    Sanford, Maine is a city in York County known for its historic textile mill heritage and its location in southern Maine near the New Hampshire border.
  • E. Porter, Maine
    Porter, Maine is a small rural town in Oxford County known for its scenic setting near the New Hampshire border and its traditional New England character.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e8d1988190b6fb6c4c5502f25f completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d016a0027c81908d3454447fa461b2 completed April 3, 2026, 7:36 p.m.
Created at: March 8, 2026, 3:13 p.m.