Triple

T16507459
Position Surface form Disambiguated ID Type / Status
Subject University of Udine E400967 entity
Predicate abbreviation P43 FINISHED
Object UNIUD
UNIUD is the official abbreviation for the University of Udine, a public university located in Udine, Italy.
E1216312 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: UNIUD | Statement: [University of Udine, abbreviation, UNIUD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNIUD
Context triple: [University of Udine, abbreviation, UNIUD]
  • A. UNÎMES
    UNÎMES is the acronym for the University of Nîmes, a French public higher education and research institution located in Nîmes, in the Occitanie region.
  • B. UNIKA
    UNIKA is the commonly used abbreviation for Soegijapranata Catholic University, a private Catholic higher education institution in Indonesia.
  • C. UNIS
    UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
  • D. UNU
    UNU is the United Nations University, a global think tank and postgraduate teaching organization of the UN system focused on research and capacity-building for sustainable development and peace.
  • E. Unic
    Unic was a French manufacturer of commercial vehicles, particularly trucks and buses, that later became part of the Iveco group through a merger.
  • 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: UNIUD
Triple: [University of Udine, abbreviation, UNIUD]
Generated description
UNIUD is the official abbreviation for the University of Udine, a public university located in Udine, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UNIUD
Target entity description: UNIUD is the official abbreviation for the University of Udine, a public university located in Udine, Italy.
  • A. UNÎMES
    UNÎMES is the acronym for the University of Nîmes, a French public higher education and research institution located in Nîmes, in the Occitanie region.
  • B. UNIKA
    UNIKA is the commonly used abbreviation for Soegijapranata Catholic University, a private Catholic higher education institution in Indonesia.
  • C. UNIS
    UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
  • D. UNU
    UNU is the United Nations University, a global think tank and postgraduate teaching organization of the UN system focused on research and capacity-building for sustainable development and peace.
  • E. Unic
    Unic was a French manufacturer of commercial vehicles, particularly trucks and buses, that later became part of the Iveco group through a merger.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e536e5c8190bef31ab979d2880a completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005832bcb48190a905ee7c9bff2c5b completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0059126e588190b531c145f3c155b4 completed May 10, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0059bf355c81909d6796482fe7f3e3 completed May 10, 2026, 10:11 a.m.
Created at: April 10, 2026, 5:14 a.m.