Triple

T17554599
Position Surface form Disambiguated ID Type / Status
Subject Santo Niño de Cebu E427557 entity
Predicate associatedWithPerson P37 FINISHED
Object Queen Juana of Cebu NE NERFINISHED

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: Queen Juana of Cebu | Statement: [Santo Niño de Cebu, associatedWithPerson, Queen Juana of Cebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Juana of Cebu
Context triple: [Santo Niño de Cebu, associatedWithPerson, Queen Juana of Cebu]
  • A. Luisita
    Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
  • B. Isabelo de los Reyes
    Isabelo de los Reyes was a Filipino writer, labor leader, and nationalist politician who played a key role in the country’s early labor movement and religious reform.
  • C. Rajah Humabon chosen
    Rajah Humabon was a 16th-century ruler of Cebu in the Philippines who became one of the first native leaders to convert to Christianity during Ferdinand Magellan’s expedition.
  • D. Filipina Queen
    Filipina Queen is a song that celebrates and highlights the beauty, pride, and identity of Filipino women.
  • E. Doña Aurora
    Doña Aurora was the revered First Lady of the Philippines and a prominent humanitarian known for her advocacy of social welfare and women’s rights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45620983c81909e71f938ce934efa completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.