Triple

T10291438
Position Surface form Disambiguated ID Type / Status
Subject Tandag E241373 entity
Predicate hasPatronSaint P8397 FINISHED
Object Santo Niño E427557 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: Santo Niño | Statement: [Tandag, hasPatronSaint, Santo Niño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santo Niño
Context triple: [Tandag, hasPatronSaint, Santo Niño]
  • A. Santo Niño de Cebu chosen
    Santo Niño de Cebu is a revered image of the Child Jesus and one of the oldest and most venerated religious icons in the Philippines, central to Filipino Catholic devotion and culture.
  • B. Francisco Niño
    Francisco Niño was a member of the prominent Niño family of Spanish shipowners involved in early Atlantic maritime ventures.
  • C. Our Lady of Peñafrancia
    Our Lady of Peñafrancia is a revered Marian image and patroness in the Philippines, especially venerated in the Bicol region through one of the country’s largest annual religious festivals.
  • D. Juan Niño
    Juan Niño is an individual known primarily as the owner of the entity or property referred to as Niña.
  • E. Magdiwang
    Magdiwang is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d281348190bac00cf826689cd7 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f85dcbac8190a2ac66354010e328 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:42 a.m.