Triple

T31834768
Position Surface form Disambiguated ID Type / Status
Subject Pang Xun rebellion E812639 entity
Predicate governmentTypeOpposed P17029 FINISHED
Object imperial monarchy 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: imperial monarchy | Statement: [Pang Xun rebellion, governmentTypeOpposed, imperial monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentTypeOpposed
Context triple: [Pang Xun rebellion, governmentTypeOpposed, imperial monarchy]
  • A. opposedFormOfGovernment chosen
    Indicates that one entity holds a stance against, or is in opposition to, the form of government represented by the other entity.
  • B. opponentGovernmentType
    Indicates the form or system of government of an opposing or rival entity in a given context.
  • C. opposedPoliticalEntity
    Indicates that one political entity is in opposition or conflict with another in terms of policies, ideology, or power.
  • D. 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.
  • E. oppositionCategory
    Indicates a relationship where one entity is classified as being in opposition to another, typically grouping it into a specific opposing or adversarial category.
  • 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_69f348ea7ffc8190a2ab43d80277cf59 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a001540d4f881908a4688881875e774 completed May 10, 2026, 5:18 a.m.
PD Predicate disambiguation batch_6a0014a8cdd88190a67a90a2df2c5e18 completed May 10, 2026, 5:16 a.m.
Created at: April 30, 2026, 11:48 p.m.