Triple

T4195384
Position Surface form Disambiguated ID Type / Status
Subject Leeds, Maine E89139 entity
Predicate partOf 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: [Leeds, Maine, partOf, state of Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: state of Maine
Context triple: [Leeds, Maine, partOf, 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. 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.
  • D. Freedom, Maine
    Freedom, Maine is a small rural town in central Maine known for its scenic countryside and tight-knit community.
  • E. Province of Maine
    The Province of Maine was an early English colonial territory in northeastern North America that later became part of the U.S. state of 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af035e87148190a0f0bf48b813ffaa completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b65f1b86908190965342d8da0ff545 completed March 15, 2026, 7:26 a.m.
Created at: March 9, 2026, 3:46 p.m.