Triple

T5955459
Position Surface form Disambiguated ID Type / Status
Subject Maastricht University E132501 entity
Predicate memberOf P10 FINISHED
Object YERUN E468981 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: YERUN | Statement: [Maastricht University, memberOf, YERUN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YERUN
Context triple: [Maastricht University, memberOf, YERUN]
  • A. YERUN chosen
    YERUN (Young European Research Universities Network) is a collaborative association of young, research-intensive European universities focused on promoting academic excellence, mobility, and joint initiatives in education and research.
  • B. YRK
    YRK is the National Rail station code for York railway station, a major historic rail hub in North Yorkshire, England.
  • C. YREB
    YREB is a major Chinese economic development region centered along the Yangtze River, encompassing multiple provinces and key cities to promote coordinated growth and integration.
  • D. Yei
    Yei is a town in southwestern South Sudan that serves as a regional hub near the borders with Uganda and the Democratic Republic of the Congo.
  • E. Gyes
    Gyes is an alternate name for Gyges, a figure from Greek mythology often associated with the Hecatoncheires, the hundred-handed giants.
  • 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.