Triple

T81885
Position Surface form Disambiguated ID Type / Status
Subject Texas A&M University E1645 entity
Predicate acronym P43 FINISHED
Object TAMU E1645 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: TAMU | Statement: [Texas A&M University, acronym, TAMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAMU
Context triple: [Texas A&M University, acronym, TAMU]
  • A. Texas A&M University chosen
    Texas A&M University is a major public research university in College Station, Texas, known for its strong programs in agriculture, engineering, and the sciences.
  • B. Baylor University
    Baylor University is a private Christian research university in Waco, Texas, known for its strong academic programs and prominent athletics in the Big 12 Conference.
  • C. Rice University
    Rice University is a private research university in Houston, Texas, known for its strong programs in science and engineering, small student body, and high level of research activity.
  • D. College Station, Texas
    College Station, Texas is a central Texas city best known as the home of Texas A&M University and its large student-centered community.
  • E. University of Alabama
    The University of Alabama is a major public research university in Tuscaloosa, Alabama, known for its strong academic programs, influential alumni, and prominent role in Southern higher education and athletics.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f367b208190a69f5b76d6ae0496 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b4b7ad108190b135179e485f4d5c completed Feb. 28, 2026, 9:26 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.