Triple

T17005957
Position Surface form Disambiguated ID Type / Status
Subject 19-840 E412570 entity
Predicate respondent P2238 FINISHED
Object State of 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: State of Texas | Statement: [19-840, respondent, State of Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Texas
Context triple: [19-840, respondent, State of 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. Nieuw-Texas
    Nieuw-Texas is a neighborhood of the Belgian city of Genk, known as a residential district within the Limburg province.
  • E. 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.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d3831268819089286053a5acf653 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ece8730819084f4bbbd7579430c completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:32 a.m.