Triple

T30590680
Position Surface form Disambiguated ID Type / Status
Subject Empress Wang E778644 entity
Predicate causeOfDisplacement P51873 FINISHED
Object court intrigues 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: court intrigues | Statement: [Empress Wang, causeOfDisplacement, court intrigues]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfDisplacement
Context triple: [Empress Wang, causeOfDisplacement, court intrigues]
  • A. displacementCause chosen
    Indicates a causal relationship where one entity is responsible for the displacement or forced movement of another entity from its original location or situation.
  • B. impactOfDisplacement
    Indicates the effect or consequences that a displacement event has on the affected entity or context.
  • C. displacedBy
    Indicates that one entity has been moved, replaced, or forced out of its original position, role, or state by another entity.
  • D. causeOfDisaster
    Indicates that the subject is responsible for bringing about or triggering the specified disaster.
  • E. causeOfExile
    Indicates the reason or circumstance that led to an entity’s exile.
  • 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_69f224a1570c8190a85d3ac330479a79 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7626667f48190ad90867eb67ec582 completed May 3, 2026, 2:57 p.m.
PD Predicate disambiguation batch_69f76175d6608190b60b268e20f49ed9 completed May 3, 2026, 2:53 p.m.
Created at: April 29, 2026, 8:24 p.m.