Triple

T19031397
Position Surface form Disambiguated ID Type / Status
Subject Christmas Capital of the Philippines E465746 entity
Predicate festivalMainActivity P70540 FINISHED
Object competition of giant lanterns 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: competition of giant lanterns | Statement: [Christmas Capital of the Philippines, festivalMainActivity, competition of giant lanterns]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: festivalMainActivity
Context triple: [Christmas Capital of the Philippines, festivalMainActivity, competition of giant lanterns]
  • A. mainFestival
    Indicates that an event is the primary or central festival associated with a particular context, place, or entity.
  • B. festivalActivity chosen
    Indicates that an entity is an event, performance, or engagement that takes place as part of a festival’s organized program.
  • C. festivalSystem
    Indicates a relationship where an entity is part of, managed by, or associated with a festival-related organizational or operational system.
  • D. mainFestivalHubFor
    Indicates that one location serves as the primary central hub or focal point for a particular festival.
  • E. festivalFeature
    Indicates that a festival includes or showcases a particular element, activity, or attraction as one of its features.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7404d748190bcb51692fb822fd4 completed April 20, 2026, 7:35 a.m.
PD Predicate disambiguation batch_69e4a3001e388190aa6057266514e75a completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 12:02 p.m.