Triple

T3054866
Position Surface form Disambiguated ID Type / Status
Subject University of Milan E60455 entity
Predicate memberOf P10 FINISHED
Object LERU E60180 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: LERU | Statement: [University of Milan, memberOf, LERU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LERU
Context triple: [University of Milan, memberOf, LERU]
  • A. LERU chosen
    LERU is a consortium of leading European research-intensive universities that collaborates to influence research policy and promote high-quality academic research and education in Europe.
  • B. LERU secretariat
    The LERU secretariat is the central administrative and coordination office that supports and implements the activities, policies, and strategic initiatives of the League of European Research Universities.
  • C. LEU
    LEU is the National Rail station code for Leuchars (for St Andrews) railway station in Fife, Scotland.
  • D. LERU Policy Committee
    The LERU Policy Committee is a key governance body within the League of European Research Universities that shapes and coordinates the network’s positions on European research, innovation, and higher education policy.
  • E. LUSU
    LUSU is the students' union representing and supporting students at Lancaster University in the United Kingdom.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf6b9948190bc957bfd1579c471 completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef03425c8190a44486ab563c210f completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:02 p.m.