Triple

T3991142
Position Surface form Disambiguated ID Type / Status
Subject Valladolid debate E86991 entity
Predicate opposingPosition P437 FINISHED
Object defense of Indigenous rights 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: defense of Indigenous rights | Statement: [Valladolid debate, opposingPosition, defense of Indigenous rights]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opposingPosition
Context triple: [Valladolid debate, opposingPosition, defense of Indigenous rights]
  • A. opposingLocation
    Indicates that two entities are located directly opposite each other, typically across a defined reference such as a street, corridor, or boundary.
  • B. opposedBy chosen
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • C. isOppositionCounterpartOf
    Indicates a relationship where one entity serves as the opposing or counterpart force, side, or position to another within a conflict, competition, or contrast.
  • D. opponentInCase
    Indicates that two parties are on opposing sides in the same legal case or proceeding.
  • E. opposedConference
    Indicates that one entity actively resists, counters, or works against another entity within the context of a conference or formal gathering.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb81040481909b22e4c445ecae0f completed March 9, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69aef8f692008190bf4d637ffc3d3eaa completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.