Triple

T6810507
Position Surface form Disambiguated ID Type / Status
Subject Izanami E156618 entity
Predicate opposedVowByIzanagi P73212 FINISHED
Object to create 1500 people every day 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: to create 1500 people every day | Statement: [Izanami, opposedVowByIzanagi, to create 1500 people every day]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opposedVowByIzanagi
Context triple: [Izanami, opposedVowByIzanagi, to create 1500 people every day]
  • A. opposedBy
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • B. vetoedBy
    Indicates that an action, decision, or proposal was rejected or blocked by a specific entity with veto authority.
  • C. typeOfOpposition
    Indicates a relationship where one entity stands in opposition or contrast to another, such as being a rival, adversary, or countering force.
  • D. 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.
  • E. antagonistOf
    Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
  • F. None of above. chosen

Provenance (4 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30ded6481908fd64611607c610e completed March 27, 2026, 6:57 p.m.
PD Predicate disambiguation batch_69c6d09bb4f881909bf20c188cb3e8e1 completed March 27, 2026, 6:46 p.m.
PDg Predicate description generation batch_69c6d1d5f1908190989efc8a2d18c965 completed March 27, 2026, 6:52 p.m.
Created at: March 27, 2026, 2:16 p.m.