Triple

T27971475
Position Surface form Disambiguated ID Type / Status
Subject Bayan of the Baarin E706367 entity
Predicate successorStateContributedTo P191778 FINISHED
Object Yuan dynasty rule over unified China 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: Yuan dynasty rule over unified China | Statement: [Bayan of the Baarin, successorStateContributedTo, Yuan dynasty rule over unified China]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorStateContributedTo
Context triple: [Bayan of the Baarin, successorStateContributedTo, Yuan dynasty rule over unified China]
  • A. successorState
    Indicates that one state directly follows another as the immediate next state in a sequence or process.
  • B. mainSuccessorState
    Indicates the state that directly follows and replaces a given state as its primary or official successor in a sequence or process.
  • C. successorStateUse
    Indicates that one state or condition directly follows and is used as the next state resulting from a prior state or action.
  • D. successorStateFlag
    Indicates that a particular state directly follows another state in a defined sequence or process.
  • E. successorStateClaimedBy
    Indicates that a particular state asserts itself as the legal or political successor to another state.
  • 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_69ef96b7f330819090f315318ba6977e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69fcec5f8b448190b48330a19b462d24 completed May 7, 2026, 7:47 p.m.
PD Predicate disambiguation batch_69fceaf1e23881908ca24160a638e329 completed May 7, 2026, 7:41 p.m.
PDg Predicate description generation batch_69fcec5e560481909cd710b88897e833 completed May 7, 2026, 7:47 p.m.
Created at: April 27, 2026, 7:38 p.m.