Triple

T5613357
Position Surface form Disambiguated ID Type / Status
Subject DigiPen Institute of Technology E147415 entity
Predicate hasCampusIn P4623 FINISHED
Object Bilbao, Spain E217612 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: Bilbao, Spain | Statement: [DigiPen Institute of Technology, hasCampusIn, Bilbao, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilbao, Spain
Context triple: [DigiPen Institute of Technology, hasCampusIn, Bilbao, Spain]
  • A. Bilbao chosen
    Bilbao is a major port city in northern Spain renowned for its industrial heritage, cultural institutions like the Guggenheim Museum, and role as an economic hub of the Basque Country.
  • B. Donostia-San Sebastián
    Donostia-San Sebastián is a coastal city in Spain’s Basque Country renowned for its picturesque bay, beaches, and world-class gastronomy.
  • C. Pamplona
    Pamplona is a historic city in northern Spain, best known internationally for its annual Running of the Bulls during the San Fermín festival.
  • D. Pamplona
    Pamplona is a landlocked agricultural municipality in the province of Negros Oriental in the Philippines, known for its hilly terrain and rural communities.
  • E. Beasain, Spain
    Beasain, Spain is a town in the Basque Country notable as an industrial center, particularly for its long-standing railway and rolling stock manufacturing heritage.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021226cf88190b70b4b51eb5b4144 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d9957e481909b57e8d524f4b4f6 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:39 p.m.