Triple

T15527870
Position Surface form Disambiguated ID Type / Status
Subject UVa E369128 entity
Predicate hasCampus P116 FINISHED
Object Palencia campus E370955 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: Palencia campus | Statement: [UVa, hasCampus, Palencia campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palencia campus
Context triple: [UVa, hasCampus, Palencia campus]
  • A. Palencia campus chosen
    Palencia campus is a regional campus of the University of Valladolid in Spain, hosting various academic programs and research activities.
  • B. Valladolid campus
    Valladolid campus is the main urban campus of the University of Valladolid, hosting a wide range of its academic, research, and administrative facilities in the city of Valladolid, Spain.
  • C. Soria campus
    Soria campus is a regional branch of the University of Valladolid located in the city of Soria, Spain, offering a range of undergraduate and postgraduate programs.
  • D. Segovia campus
    Segovia campus is a regional campus of the University of Valladolid located in the historic city of Segovia, Spain, offering a range of undergraduate and graduate programs.
  • E. Colmenarejo campus
    Colmenarejo campus is one of the sites of Charles III University of Madrid, hosting various academic programs and facilities in the town of Colmenarejo, Spain.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff45549e4881908ab0769e49ba5dc4 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:05 a.m.