Triple

T5955460
Position Surface form Disambiguated ID Type / Status
Subject Maastricht University E132501 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: [Maastricht University, memberOf, LERU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LERU
Context triple: [Maastricht University, 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. URU
    URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
  • E. 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.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c1de80819085c97a0aa2d37f32 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d77fb08190a24d319adc608df5 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.