Triple

T6879359
Position Surface form Disambiguated ID Type / Status
Subject ME E158750 entity
Predicate distinctFrom P1612 FINISHED
Object ISO 3166-2:US-ME 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: ISO 3166-2:US-ME | Statement: [ME, distinctFrom, ISO 3166-2:US-ME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 3166-2:US-ME
Context triple: [ME, distinctFrom, ISO 3166-2:US-ME]
  • A. ISO 3166-2:US
    ISO 3166-2:US is the section of the ISO 3166 standard that defines internationally recognized subdivision codes for the states and territories of the United States.
  • B. Maine chosen
    Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
  • C. 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.
  • D. Mexico, Maine
    Mexico, Maine is a small town in Oxford County known historically as a mill and residential community closely linked with the neighboring industrial town of Rumford.
  • E. Maryland
    Maryland is a Mid-Atlantic U.S. state known for its Chesapeake Bay shoreline, colonial history, and proximity to the nation’s capital.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8e60f94819086315b1dd2ea7a3e completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742c2b81881909bd13df0d6028cc6 completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.