Triple

T27688688
Position Surface form Disambiguated ID Type / Status
Subject Crown Prince Qi E698099 entity
Predicate courtFactionOpposedBy P53524 FINISHED
Object supporters of Consort Wang Zhi 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: supporters of Consort Wang Zhi | Statement: [Crown Prince Qi, courtFactionOpposedBy, supporters of Consort Wang Zhi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: courtFactionOpposedBy
Context triple: [Crown Prince Qi, courtFactionOpposedBy, supporters of Consort Wang Zhi]
  • A. courtFaction
    Indicates a relationship where an entity is aligned with, belongs to, or is associated with a particular political or social faction within a court or ruling body.
  • B. opposingPoliticalFaction
    Indicates that two entities belong to political groups or factions that are in conflict or opposition to each other.
  • C. opposesPartyType
    Indicates that one party or entity is in opposition to, or acts against the interests or positions of, a particular type or category of party.
  • D. opposingParticipants
    Indicates that the related entities are participants positioned in opposition to each other within the same interaction, event, or context.
  • E. hasOpposingFaction chosen
    Indicates that one faction stands in opposition or conflict to another faction.
  • 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_69ef590df8708190af5488f0638e790c completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f65a6c900881908f18b61273d7bf8d completed May 2, 2026, 8:11 p.m.
PD Predicate disambiguation batch_69f659ce58408190ba9e007b4810d4d0 completed May 2, 2026, 8:08 p.m.
Created at: April 27, 2026, 2:50 p.m.