Triple

T2849700
Position Surface form Disambiguated ID Type / Status
Subject Muskogee E63062 entity
Predicate partOf P40 FINISHED
Object Green Country E201300 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: Green Country | Statement: [Muskogee, partOf, Green Country]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Country
Context triple: [Muskogee, partOf, Green Country]
  • A. Green Country chosen
    Green Country is a region in northeastern Oklahoma known for its rolling hills, forests, lakes, and the city of Tulsa as its primary urban center.
  • B. Heart of the Country
    "Heart of the Country" is a song by Paul McCartney from his 1971 album *Ram*, known for its pastoral, acoustic style and lyrics about escaping city life for rural peace.
  • C. Heartland
    "Heartland" is a song by U2 from their album *Rattle and Hum*, known for its atmospheric sound and evocative lyrics about America.
  • D. Heartland
    Heartland is a 2021 country-rap fusion album by American rapper Nelly that features collaborations with several country artists.
  • E. Heart of Dixie
    Heart of Dixie is a popular nickname for the U.S. state of Alabama, reflecting its central role in the history and culture of the American South.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf41ac24819087c5b72e3b84117c completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8df46c881909a5f0d1d0eef9a42 completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:02 p.m.