Triple

T4235836
Position Surface form Disambiguated ID Type / Status
Subject University of Perpignan Via Domitia E94689 entity
Predicate shortName P43 FINISHED
Object UPVD
UPVD is the commonly used acronym for the University of Perpignan Via Domitia, a French public university located in Perpignan.
 E423696 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: UPVD | Statement: [University of Perpignan Via Domitia, shortName, UPVD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UPVD
Context triple: [University of Perpignan Via Domitia, shortName, UPVD]
  • A. UniPV
    UniPV is the commonly used abbreviation for the University of Pavia, one of Italy’s oldest and most prestigious universities.
  • B. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • C. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • D. UNP
    UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
  • E. UPVM3
    UPVM3 is a French public university in Montpellier specializing in arts, humanities, and social sciences, named after the writer and philosopher Paul Valéry.
  • 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: UPVD
Triple: [University of Perpignan Via Domitia, shortName, UPVD]
Generated description
UPVD is the commonly used acronym for the University of Perpignan Via Domitia, a French public university located in Perpignan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UPVD
Target entity description: UPVD is the commonly used acronym for the University of Perpignan Via Domitia, a French public university located in Perpignan.
  • A. UniPV
    UniPV is the commonly used abbreviation for the University of Pavia, one of Italy’s oldest and most prestigious universities.
  • B. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • C. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • D. UNP
    UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
  • E. UPVM3
    UPVM3 is a French public university in Montpellier specializing in arts, humanities, and social sciences, named after the writer and philosopher Paul Valéry.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e72ff588190a50c04ab975612dd completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a866c2448190aaed83d8da3669b8 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a8f374fc8190830286dfadc9bdbb completed March 14, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b5a99a4a9c8190a7e9bbc119d8d775 completed March 14, 2026, 6:31 p.m.
Created at: March 12, 2026, 11:05 p.m.