Triple

T8334158
Position Surface form Disambiguated ID Type / Status
Subject Vistra Corp E195145 entity
Predicate headquartersLocation P62 FINISHED
Object Texas E548 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: Texas | Statement: [Vistra Corp, headquartersLocation, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texas
Context triple: [Vistra Corp, headquartersLocation, Texas]
  • A. Texas chosen
    Texas is the second-largest U.S. state by both area and population, known for its diverse landscapes, major cities like Houston and Dallas, and significant cultural and economic influence.
  • B. Teksas
    Teksas is the famously passionate and vocal supporter group of the Turkish football club Bursaspor, known for its intense atmosphere and choreographies at matches.
  • C. The Texas
    The Texas is a historic steam locomotive famed for its role in the 1862 Great Locomotive Chase during the American Civil War.
  • D. Coahuila y Tejas
    Coahuila y Tejas was a Mexican state in the early 19th century that combined the regions of Coahuila and Texas before Texas’s independence and the formation of the Republic of Texas.
  • E. Oklahoma
    Oklahoma is a landlocked state in the south-central United States known for its Native American heritage, energy industry, and mix of Great Plains and forested landscapes.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fbe61f481909cde8ab2c42f89fc completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9545ffc48190869906b02692b873 completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:57 p.m.