Triple

T26029815
Position Surface form Disambiguated ID Type / Status
Subject Đại Cồ Việt E647396 entity
Predicate stateReligionInfluence P29112 FINISHED
Object Buddhist monarchy 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: Buddhist monarchy | Statement: [Đại Cồ Việt, stateReligionInfluence, Buddhist monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateReligionInfluence
Context triple: [Đại Cồ Việt, stateReligionInfluence, Buddhist monarchy]
  • A. influencedByReligion chosen
    Indicates that an entity’s characteristics, decisions, or development are shaped or affected by religious beliefs, practices, or institutions.
  • B. influencedReligion
    Indicates that one entity has had a shaping or modifying effect on the religious beliefs, practices, or traditions of another entity.
  • C. roleInStateReligion
    Indicates that an entity holds a specific function, position, or involvement within the officially recognized religion of a state.
  • D. dominantReligionPolicy
    Indicates the policy or stance an authority adopts toward the religion that holds dominant or majority status within a given context.
  • E. countryReligionContext
    Indicates the contextual relationship between a country and a religion, such as how that religion is practiced, recognized, or positioned within that country.
  • 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_69e77e8b60e88190a3b26c4f0032a2c2 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
Created at: April 22, 2026, 9:06 a.m.