Triple

T13023459
Position Surface form Disambiguated ID Type / Status
Subject Alicante E326236 entity
Predicate hasUniversity P113 FINISHED
Object University of Alicante E215489 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: University of Alicante | Statement: [Alicante, hasUniversity, University of Alicante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Alicante
Context triple: [Alicante, hasUniversity, University of Alicante]
  • A. University of Alicante chosen
    The University of Alicante is a Spanish public university located near the city of Alicante, known for its modern campus and strong programs in fields such as economics, law, engineering, and social sciences.
  • B. University of Murcia
    The University of Murcia is a public higher education and research institution located in the city of Murcia in southeastern Spain.
  • C. University of Málaga
    The University of Málaga is a public higher education and research institution located in the city of Málaga in southern Spain.
  • D. University of Almería
    The University of Almería is a public higher education and research institution located in the city of Almería in southeastern Spain.
  • E. University of Valencia
    The University of Valencia is one of Spain’s oldest and most prestigious public universities, renowned for its research and teaching across a wide range of disciplines.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ed05e9c8190a4f208662bca0602 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f861188190892b4d693395cc5e completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:52 p.m.