Triple

T3135644
Position Surface form Disambiguated ID Type / Status
Subject Texas A&I University E65521 entity
Predicate city P40 FINISHED
Object Kingsville E214652 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: Kingsville | Statement: [Texas A&I University, city, Kingsville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingsville
Context triple: [Texas A&I University, city, Kingsville]
  • A. Kingsville, Texas chosen
    Kingsville, Texas is a small South Texas city known for its ranching heritage, proximity to the King Ranch, and presence of higher education institutions including a campus of the Texas A&M University System.
  • B. Kerrville
    Kerrville is a small city in central Texas known for its scenic Guadalupe River setting, Hill Country landscapes, and vibrant arts and music festivals.
  • C. Corsicana
    Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
  • D. Seagoville
    Seagoville is a small city in North Texas that functions as a suburban community within the greater Dallas–Fort Worth metropolitan area.
  • E. Wimberley
    Wimberley is a small, scenic town in central Texas known for its picturesque Hill Country landscapes, swimming holes, and artsy, tourist-friendly downtown.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5637de0819089393429c4017298 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224dcd1bc8190948b80c686d0e641 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:05 p.m.