Triple

T16198323
Position Surface form Disambiguated ID Type / Status
Subject Henri de Bourbon E393126 entity
Predicate birthPlace P1 FINISHED
Object Pau, Kingdom of Navarre E49264 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: Pau, Kingdom of Navarre | Statement: [Henri de Bourbon, birthPlace, Pau, Kingdom of Navarre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pau, Kingdom of Navarre
Context triple: [Henri de Bourbon, birthPlace, Pau, Kingdom of Navarre]
  • A. Pau chosen
    Pau is a historic city in southwestern France, known as the capital of the Pyrénées-Atlantiques department and for its scenic location near the Pyrenees mountains.
  • B. Pau
    Pau is the Catalan given name of the renowned cellist and conductor Pablo Casals.
  • 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 historic Colombian city in the Andean region known for its colonial architecture, religious heritage, and role as an educational and cultural center.
  • E. Pamplona
    Pamplona is a landlocked agricultural municipality in the province of Negros Oriental in the Philippines, known for its hilly terrain and rural communities.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222dc6b1c8190a3d8a6451ed8b95a completed April 17, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff1107908190afda091b53317d81 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:03 a.m.