Triple

T1577345
Position Surface form Disambiguated ID Type / Status
Subject Coahuila E33682 entity
Predicate wasPartOf P35 FINISHED
Object Coahuila y Tejas E32759 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: Coahuila y Tejas | Statement: [Coahuila, wasPartOf, Coahuila y Tejas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coahuila y Tejas
Context triple: [Coahuila, wasPartOf, Coahuila y Tejas]
  • A. Coahuila y Tejas chosen
    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.
  • B. Coahuila
    Coahuila is a large, mostly arid state in northeastern Mexico known for its desert landscapes, mountain ranges, and significant industrial and mining activities.
  • C. Tamaulipas
    Tamaulipas is a northeastern Mexican state along the Gulf of Mexico, known for its coastal plains, agricultural production, and diverse landscapes shaped in part by the Sierra Madre Oriental.
  • D. Texas
    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.
  • E. The Texas
    The Texas is a historic steam locomotive famed for its role in the 1862 Great Locomotive Chase during the American Civil War.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d571f081908acec43ff2ef112d completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae02fafaac81908da419946e5a279d completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:27 p.m.