Triple

T34756227
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Quito E1001930 entity
Predicate saidToHaveBeenConqueredUnder P126316 FINISHED
Object Huayna Capac NE NERFINISHED

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: Huayna Capac | Statement: [Kingdom of Quito, saidToHaveBeenConqueredUnder, Huayna Capac]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: saidToHaveBeenConqueredUnder
Context triple: [Kingdom of Quito, saidToHaveBeenConqueredUnder, Huayna Capac]
  • A. conqueredIn
    Indicates that one entity gained control over another entity or territory as a result of a specific conquest event or campaign.
  • B. eventuallySubjugatedBy chosen
    Indicates that one entity ultimately comes under the control, domination, or authority of another entity after some passage of time or sequence of events.
  • C. afterConquestBy
    Indicates that one entity exists in a state, condition, or situation that occurs subsequent to and as a result of being conquered by another entity.
  • D. conqueredFrom
    Indicates that one entity gained control of another entity by taking it from a third party that previously held it.
  • E. conqueredInPartBy
    Indicates that one entity has gained control over a portion, but not the entirety, of another entity through conquest.
  • 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_69f76db0fb30819096709d43f9a1f45f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f7817daf00819098936402e75ab0a6 completed May 3, 2026, 5:10 p.m.
PD Predicate disambiguation batch_69f780fc5ed88190b7200ee5a29940af completed May 3, 2026, 5:08 p.m.
Created at: May 3, 2026, 3:59 p.m.