Triple

T32051581
Position Surface form Disambiguated ID Type / Status
Subject Ati-Atihan Town E818505 entity
Predicate hasMainReligiousFigure P57866 FINISHED
Object Santo Niño de Kalibo 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: Santo Niño de Kalibo | Statement: [Ati-Atihan Town, hasMainReligiousFigure, Santo Niño de Kalibo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainReligiousFigure
Context triple: [Ati-Atihan Town, hasMainReligiousFigure, Santo Niño de Kalibo]
  • A. hasReligiousFigureAssociation chosen
    Indicates a relationship in which an entity is connected or linked to a religious figure, such as through dedication, representation, influence, or affiliation.
  • B. hasFamousReligiousBearer
    Indicates that an entity has at least one well-known religious figure associated with or bearing its name.
  • C. hasReligiousCharacter
    Indicates that an entity possesses a religious nature, function, or affiliation, or is characterized by religious aspects or significance.
  • D. hasFounderOfReligion
    Indicates that an entity is the person who founded or established a particular religion.
  • E. hasReligiousFounderAssociated
    Indicates that an entity is associated with a specific religious founder, typically through origin, dedication, or foundational influence.
  • F. None of above.

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_69f348fcfb648190859f6be5e04b7cfe completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a00717f539c8190b70dd0e72c6f7d24 completed May 10, 2026, 11:52 a.m.
PD Predicate disambiguation batch_6a00710278fc81908889afdcf459ff01 completed May 10, 2026, 11:50 a.m.
Created at: May 1, 2026, 12:20 a.m.