Triple

T13643052
Position Surface form Disambiguated ID Type / Status
Subject Oxford County E326033 entity
Predicate containsSettlement P847 FINISHED
Object Gilead, Maine E12677 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: Gilead, Maine | Statement: [Oxford County, containsSettlement, Gilead, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilead, Maine
Context triple: [Oxford County, containsSettlement, Gilead, Maine]
  • A. Gilead, Maine chosen
    Gilead, Maine is a small rural town in western Maine near the New Hampshire border, known for its location along the Androscoggin River and its access to outdoor recreation in the White Mountains region.
  • B. Castle Rock, Maine
    Castle Rock, Maine is a fictional small town in Stephen King’s works, known as the setting for many of his horror and suspense stories.
  • C. Hope, Maine
    Hope, Maine is a small rural town in coastal Knox County known for its scenic lakes, rolling hills, and quiet New England character.
  • D. Madawaska, Maine
    Madawaska, Maine is a small town in far northern Maine on the Canadian border, known for its Franco-American heritage and position as one of the four geographic corners of the United States.
  • E. Strong, Maine
    Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5ac2af88190976abe6606994eef completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bba60c8819087b614cea03eb078 completed May 9, 2026, 1:19 a.m.
Created at: April 9, 2026, 9:51 p.m.