Triple

T4259907
Position Surface form Disambiguated ID Type / Status
Subject Kingman Township, Maine E96078 entity
Predicate governingBody P46 FINISHED
Object State of Maine E29256 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: State of Maine | Statement: [Kingman Township, Maine, governingBody, State of Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Maine
Context triple: [Kingman Township, Maine, governingBody, State of Maine]
  • A. Maine chosen
    Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
  • B. Maine
    Maine is a historical region in northwestern France that played a significant role in the medieval power struggles between the English and French crowns.
  • C. New Hampshire
    New Hampshire is a small New England state in the northeastern United States known for its mountainous landscapes, early presidential primary, and “Live Free or Die” motto.
  • D. Freedom, Maine
    Freedom, Maine is a small rural town in central Maine known for its scenic countryside and tight-knit community.
  • E. New Hampshire and Vermont
    New Hampshire and Vermont are two neighboring New England states in the northeastern United States, known for their rural landscapes, small towns, and shared border along the Connecticut River.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f7fe7348190baed8d214268b756 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6509a86a081908435094d0e80e9f4 completed March 15, 2026, 6:24 a.m.
Created at: March 12, 2026, 11:06 p.m.