Triple

T3346127
Position Surface form Disambiguated ID Type / Status
Subject Las Fallas E70378 entity
Predicate honors P2354 FINISHED
Object Saint Joseph E3227 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: Saint Joseph | Statement: [Las Fallas, honors, Saint Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Joseph
Context triple: [Las Fallas, honors, Saint Joseph]
  • A. Saint Joseph chosen
    Saint Joseph is a key figure in Christianity, venerated as the earthly father of Jesus and a model of humility, obedience, and protective care.
  • B. Saint Joachim
    Saint Joachim is venerated in Christian tradition as the father of the Virgin Mary and the husband of Saint Anne.
  • C. Aloysius
    Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
  • D. Saint Roch
    Saint Roch is a Christian saint venerated as a protector against plagues and epidemics, often depicted as a pilgrim with a dog and a leg wound.
  • E. Saint Joseph of Cupertino
    Saint Joseph of Cupertino was a 17th-century Italian Franciscan friar and mystic, renowned in Catholic tradition for his reported levitations and ecstatic visions.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1f4ff888190bf14b9b7fbe9bcee completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33429da9c8190bb1b62b0130e3d03 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:12 p.m.