Triple

T8504507
Position Surface form Disambiguated ID Type / Status
Subject Green Country E201300 entity
Predicate containsCity P294 FINISHED
Object Muskogee E63062 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: Muskogee | Statement: [Green Country, containsCity, Muskogee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muskogee
Context triple: [Green Country, containsCity, Muskogee]
  • A. Muskogee chosen
    Muskogee is a city in eastern Oklahoma known historically as a regional center for Native American culture, rail transport, and river commerce along the Arkansas River.
  • B. Muskogee, Oklahoma
    Muskogee, Oklahoma is a city in eastern Oklahoma known historically as a regional commercial and transportation hub and for its role in Native American and frontier history.
  • C. Eufaula
    Eufaula is a historic city in southeastern Alabama known for its well-preserved antebellum architecture and location along the Chattahoochee River.
  • D. Chickasha
    Chickasha is a small city in Grady County, Oklahoma, known historically as a regional agricultural and railroad hub and now home to the University of Science and Arts of Oklahoma.
  • E. Tallassee
    Tallassee is a small city in central Alabama known for its location along the Tallapoosa River and its historic textile mill heritage.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe59d67d081908155a43b9b463fe3 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e26a3108190a48b00c2927be971 completed April 2, 2026, 11:08 a.m.
Created at: March 30, 2026, 6:14 p.m.