Triple

T5968455
Position Surface form Disambiguated ID Type / Status
Subject Huey Tlatoani E132810 entity
Predicate religiousPower P12219 FINISHED
Object oversaw state religious ceremonies 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: oversaw state religious ceremonies | Statement: [Huey Tlatoani, religiousPower, oversaw state religious ceremonies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousPower
Context triple: [Huey Tlatoani, religiousPower, oversaw state religious ceremonies]
  • A. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • B. religiousFunction
    Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
  • C. religiousAdministration chosen
    Indicates that one entity holds authority or responsibility for managing, overseeing, or governing the religious affairs, practices, or institutions of another entity.
  • D. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • E. religiousFoundation
    Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03e174c7c8190b04113f6529f5f0e completed March 22, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69c0335b55a48190927a5b1529edb542 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:03 p.m.