Triple

T10151015
Position Surface form Disambiguated ID Type / Status
Subject Sumner Increase Kimball E232638 entity
Predicate placeOfBirth P1 FINISHED
Object Lebanon, Maine E364571 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: Lebanon, Maine | Statement: [Sumner Increase Kimball, placeOfBirth, Lebanon, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebanon, Maine
Context triple: [Sumner Increase Kimball, placeOfBirth, Lebanon, Maine]
  • A. Lebanon, Maine chosen
    Lebanon, Maine is a small rural town in southwestern Maine known for its forests, lakes, and proximity to the New Hampshire border.
  • B. Levant, Maine
    Levant, Maine is a small rural town located in Penobscot County in central Maine, known for its agricultural character and close proximity to the city of Bangor.
  • C. Warren, Maine
    Warren, Maine is a small town in Knox County known for its rural character and location along the St. George River in midcoast Maine.
  • D. Gray, Maine
    Gray, Maine is a small New England town in southern Maine known for its rural character, proximity to Portland, and the Maine Wildlife Park.
  • E. Morrill, Maine
    Morrill, Maine is a small rural town in Waldo County known for its quiet residential character and forested, hilly landscape in central coastal Maine.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f62d41448190ab65fb9c81d4d673 completed May 2, 2026, 1:03 p.m.
Created at: March 30, 2026, 9:08 p.m.