Triple

T11131390
Position Surface form Disambiguated ID Type / Status
Subject Province of Murcia E263289 entity
Predicate contains P35 FINISHED
Object University of Murcia E249497 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 Murcia | Statement: [Province of Murcia, contains, University of Murcia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Murcia
Context triple: [Province of Murcia, contains, University of Murcia]
  • A. University of Murcia chosen
    The University of Murcia is a public higher education and research institution located in the city of Murcia in southeastern Spain.
  • B. University of Málaga
    The University of Málaga is a public higher education and research institution located in the city of Málaga in southern Spain.
  • C. University of Alicante
    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.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e831f4808190afabdaa0e97bbe32 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e890bb9c81908c316a6423e650e6 completed April 20, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:28 p.m.