Triple

T1395068
Position Surface form Disambiguated ID Type / Status
Subject University of Pisa E30646 entity
Predicate memberOf P10 FINISHED
Object UNIMED E101713 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: UNIMED | Statement: [University of Pisa, memberOf, UNIMED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNIMED
Context triple: [University of Pisa, memberOf, UNIMED]
  • A. UNIMED chosen
    UNIMED is a Mediterranean university association that promotes academic cooperation, research collaboration, and cultural exchange among higher education institutions across the Mediterranean region.
  • B. Libyan International Medical University
    Libyan International Medical University is a private medical and health sciences university located in Benghazi, Libya, offering undergraduate and postgraduate programs in fields such as medicine, dentistry, and pharmacy.
  • C. 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.
  • D. IOM
    IOM is the three-letter IATA airport code for Isle of Man Airport, serving the Isle of Man in the Irish Sea.
  • E. UNIL
    UNIL is the commonly used abbreviation for the University of Lausanne, a major public research university in Lausanne, Switzerland.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c37e60388190a8efcb345be7a1b9 completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde2c62ac819090179b775ea544c9 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:59 p.m.