Triple

T1188216
Position Surface form Disambiguated ID Type / Status
Subject Byron Nelson E25295 entity
Predicate residence P75 FINISHED
Object Texas, United States 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, United States | Statement: [Byron Nelson, residence, Texas, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texas, United States
Context triple: [Byron Nelson, residence, Texas, United States]
  • 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. The Texas
    The Texas is a historic steam locomotive famed for its role in the 1862 Great Locomotive Chase during the American Civil War.
  • C. 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.
  • D. Italy, Texas
    Italy, Texas is a small rural town in Ellis County known for its location along Interstate 35E between Dallas and Waco.
  • E. Texoma region
    The Texoma region is an area spanning parts of northern Texas and southern Oklahoma centered around Lake Texoma and the communities along the Red River.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd568cf481908d10cf19a3ce28f3 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac83146f2881909e230bc9de28a76b completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:45 p.m.