Triple

T15743078
Position Surface form Disambiguated ID Type / Status
Subject Universidad Carlos III de Madrid E381646 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: [Universidad Carlos III de Madrid, memberOf, YERUN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YERUN
Context triple: [Universidad Carlos III de Madrid, 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. Yeyin
    Yeyin is a small coastal settlement on Orchid Island, Taiwan, known for its indigenous Tao culture and traditional fishing lifestyle.
  • D. Yateras
    Yateras is a municipality in eastern Cuba known for its rural communities and mountainous landscapes within Guantánamo Province.
  • E. YRP
    YRP is the regional police service responsible for law enforcement and public safety in Ontario’s York Region, just north of Toronto.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd97d6c8190b2fa6ca422bfe512 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff83056aa0819098b757ed125e61fe completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.