Triple

T5847696
Position Surface form Disambiguated ID Type / Status
Subject National University of Trujillo E129751 entity
Predicate shortName P43 FINISHED
Object UNT
UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
E549771 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: UNT | Statement: [National University of Trujillo, shortName, UNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNT
Context triple: [National University of Trujillo, shortName, UNT]
  • A. UME
    UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
  • B. UCT
    UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
  • C. UM
    UM is the stock ticker symbol for MRU, the Canadian food and pharmacy retail company Metro Inc.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • 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: UNT
Triple: [National University of Trujillo, shortName, UNT]
Generated description
UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UNT
Target entity description: UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
  • A. UME
    UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
  • B. UCT
    UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
  • C. UM
    UM is the stock ticker symbol for MRU, the Canadian food and pharmacy retail company Metro Inc.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03512d3548190920ac882189500d9 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1ad4d888190b4a1e605887b2e2c completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a27765688190b02a1b0cd39a87fe completed March 23, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2fd7ec081909033994e5556a6ae completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:55 p.m.