Triple

T9611513
Position Surface form Disambiguated ID Type / Status
Subject Cornish, Maine E232112 entity
Predicate locatedIn P40 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: [Cornish, Maine, locatedIn, state of Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: state of Maine
Context triple: [Cornish, Maine, locatedIn, 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 and Maine
    New Hampshire and Maine are neighboring New England states in the northeastern United States, known for their rugged coastlines, forested landscapes, and historic colonial towns.
  • D. County of Maine
    The County of Maine was a medieval feudal territory in western France that became a key strategic possession contested by the counts of Anjou and the Norman and English kings.
  • E. Freedom, Maine
    Freedom, Maine is a small rural town in central Maine known for its scenic countryside and tight-knit community.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a87764481909ab96cd2ab96d14b completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190e248bc819080d0c72c9a65482d completed April 4, 2026, 10:29 p.m.
Created at: March 30, 2026, 8:09 p.m.