Triple

T9948437
Position Surface form Disambiguated ID Type / Status
Subject Texas Longhorn cattle E195264 entity
Predicate commonName P570 FINISHED
Object Texas Longhorn E195264 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 Longhorn | Statement: [Texas Longhorn cattle, commonName, Texas Longhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texas Longhorn
Context triple: [Texas Longhorn cattle, commonName, Texas Longhorn]
  • A. Texas longhorn cattle chosen
    Texas longhorn cattle are a historic American breed of beef cattle known for their characteristic exceptionally long, curved horns and their role in 19th-century cattle drives.
  • B. Aggie Bulldog
    Aggie Bulldog is the canine mascot that represents the athletic teams and school spirit of institutions known as the Aggies.
  • C. The Shorthorn
    The Shorthorn is the student-run newspaper of the University of Texas at Arlington, covering campus news, events, and issues relevant to the university community.
  • D. Baylor Bear
    Baylor Bear is the costumed bear mascot representing Baylor University's athletic teams and school spirit.
  • E. Aggie
    Aggie is a common diminutive or nickname for the given name Agnes.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb659307c81908279adb641ceef86 completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2292b50a881909ff868487639fbfd completed April 5, 2026, 9:19 a.m.
Created at: March 30, 2026, 8:45 p.m.