Triple

T18776717
Position Surface form Disambiguated ID Type / Status
Subject Tonatiuh E459150 entity
Predicate receivesSacrificesFrom P41622 FINISHED
Object captured warriors 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: captured warriors | Statement: [Tonatiuh, receivesSacrificesFrom, captured warriors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivesSacrificesFrom
Context triple: [Tonatiuh, receivesSacrificesFrom, captured warriors]
  • A. sacrificeAcceptedBy chosen
    Indicates that a sacrificial offering made by one entity is received and deemed acceptable by another entity.
  • B. sacrificedTo
    Indicates that one entity is offered or given up as a sacrifice in honor of, or to appease, another entity.
  • C. sacrificedAnimalsAt
    Indicates that an entity performed or conducted animal sacrifices at a specific location or site.
  • D. viewOfSacrifices
    Indicates a perspective, attitude, or evaluative stance that an entity holds toward sacrifices or acts of sacrificing.
  • E. methodOfSacrifice
    Indicates the specific way or procedure by which a sacrifice is carried out.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5933b912481908bfd97216eacb257 completed April 20, 2026, 2:45 a.m.
PD Predicate disambiguation batch_69e48d1126e4819099607837ed5aadca completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:52 a.m.