Triple

T1689585
Position Surface form Disambiguated ID Type / Status
Subject University of Texas at Austin E36520 entity
Predicate nickname P55 FINISHED
Object UT
UT is a major public research university in Austin, Texas, known for its strong academic programs, large student body, and prominent Longhorns athletics.
 E191421 NE FINISHED

How this triple was built (4 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: UT | Statement: [University of Texas at Austin, nickname, UT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UT
Context triple: [University of Texas at Austin, nickname, UT]
  • A. UT
    UT is the commonly used abbreviation for the University of Tehran, Iran’s oldest and most prestigious modern university.
  • B. IN-UT
    IN-UT is the ISO 3166-2 code representing the Indian state of Uttarakhand.
  • C. Utah
    Utah is a landlocked state in the western United States known for its vast deserts, distinctive red rock landscapes, and prominent national parks such as Zion and Arches.
  • D. ONT
    ONT is the IATA airport code for Ontario International Airport, a commercial airport serving the Inland Empire region of Southern California.
  • E. UST
    UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UT
Triple: [University of Texas at Austin, nickname, UT]
Generated description
UT is a major public research university in Austin, Texas, known for its strong academic programs, large student body, and prominent Longhorns athletics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UT
Target entity description: UT is a major public research university in Austin, Texas, known for its strong academic programs, large student body, and prominent Longhorns athletics.
  • A. UT
    UT is the commonly used abbreviation for the University of Tehran, Iran’s oldest and most prestigious modern university.
  • B. IN-UT
    IN-UT is the ISO 3166-2 code representing the Indian state of Uttarakhand.
  • C. Utah
    Utah is a landlocked state in the western United States known for its vast deserts, distinctive red rock landscapes, and prominent national parks such as Zion and Arches.
  • D. ONT
    ONT is the IATA airport code for Ontario International Airport, a commercial airport serving the Inland Empire region of Southern California.
  • E. UST
    UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
  • F. None of above. chosen

Provenance (5 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62979da48190a64a04bf352182e0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7992792081909af4312ae8a448a2 completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad7ab4aca48190936384bfa1cdeccf completed March 8, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69ad7b34c3248190bb93769e55df7189 completed March 8, 2026, 1:35 p.m.
Created at: March 4, 2026, 7:29 p.m.