Triple

T35319742
Position Surface form Disambiguated ID Type / Status
Subject Pak Ou Buddha Caves E1020004 entity
Predicate hasReligiousObjects P128939 FINISHED
Object incense offerings 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: incense offerings | Statement: [Pak Ou Buddha Caves, hasReligiousObjects, incense offerings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligiousObjects
Context triple: [Pak Ou Buddha Caves, hasReligiousObjects, incense offerings]
  • A. hasReligiousObject chosen
    Indicates that an entity possesses, is associated with, or contains a religious object (such as an artifact, symbol, or item used in religious practice).
  • B. hasReligiousRepresentation
    Indicates that one entity serves as a religious symbol, figure, or embodiment for another entity or within a particular context.
  • C. hasReligiousSite
    Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
  • D. hasReligious
    Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
  • E. hasReligiousSee
    Indicates that one entity serves as the ecclesiastical or religious jurisdiction/seat (see) of another entity.
  • 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_69f76de9d45c81908a2ed0956b448b65 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0324d08190ac5b610cc0f6a38c completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:03 p.m.