Triple

T16106369
Position Surface form Disambiguated ID Type / Status
Subject Dajia Jenn Lann Temple E390747 entity
Predicate worshipService P11149 FINISHED
Object Mazu worship LITERAL 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: Mazu worship | Statement: [Dajia Jenn Lann Temple, worshipService, Mazu worship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: worshipService
Context triple: [Dajia Jenn Lann Temple, worshipService, Mazu worship]
  • A. worshipCenter
    Indicates that one entity serves as a place or facility where another entity engages in religious worship or related spiritual activities.
  • B. worshipType chosen
    Indicates the manner or form in which worship is practiced or expressed in a religious or spiritual context.
  • C. worship
    Indicates a relationship where one entity shows reverence, adoration, or religious devotion toward another entity, often recognizing it as sacred or divine.
  • D. worshipScope
    Indicates the range or extent within which worship, veneration, or religious devotion is directed or practiced.
  • E. worshipLeadership
    Indicates that one entity holds a leadership role or primary responsibility in organizing or guiding worship activities for another entity or group.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e182804208819087f35307cd6e4103 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5 a.m.