Triple

T10854174
Position Surface form Disambiguated ID Type / Status
Subject Universitat Autònoma de Barcelona E256227 entity
Predicate affiliation 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: [Universitat Autònoma de Barcelona, affiliation, YERUN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YERUN
Context triple: [Universitat Autònoma de Barcelona, affiliation, 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. YRP
    YRP is the regional police service responsible for law enforcement and public safety in Ontario’s York Region, just north of Toronto.
  • E. 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.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751351a0c8190b38c14888c5e4275 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb18a48248190999f95abc979fa74 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.