Triple

T11175214
Position Surface form Disambiguated ID Type / Status
Subject Midland County E264393 entity
Predicate locatedInMetropolitanArea P294 FINISHED
Object Midland metropolitan area E706165 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: Midland metropolitan area | Statement: [Midland County, locatedInMetropolitanArea, Midland metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midland metropolitan area
Context triple: [Midland County, locatedInMetropolitanArea, Midland metropolitan area]
  • A. Midland metropolitan area chosen
    The Midland metropolitan area is a West Texas urban region centered on the city of Midland, known for its strong ties to the oil and gas industry and its role in the Permian Basin economy.
  • B. Midland
    Midland was a short-lived Formula One constructor that competed in the mid-2000s after taking over the Jordan Grand Prix team.
  • C. Midland
    Midland is a small town in central Ontario, Canada, known as a gateway to Georgian Bay and the 30,000 Islands region.
  • D. Midland
    Midland is a city in the Permian Basin region of West Texas known for its pivotal role in the oil and gas industry.
  • E. Lawrence metropolitan area
    The Lawrence metropolitan area is a small urban region in Kansas centered on the city of Lawrence, known for the University of Kansas and its vibrant college-town culture.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e897774c819088ebc7231cebfba6 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463c4e7048190a935727344e73f89 completed April 19, 2026, 5:10 a.m.
Created at: April 8, 2026, 9:29 p.m.