Triple

T27774437
Position Surface form Disambiguated ID Type / Status
Subject Laoshang Chanyu E699144 entity
Predicate tributaryRelation P144467 FINISHED
Object received gifts and subsidies from Han court 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: received gifts and subsidies from Han court | Statement: [Laoshang Chanyu, tributaryRelation, received gifts and subsidies from Han court]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tributaryRelation
Context triple: [Laoshang Chanyu, tributaryRelation, received gifts and subsidies from Han court]
  • A. hasTributaryRelationsWith
    Indicates that one entity maintains a tributary relationship with another, typically involving regular payments or offerings in exchange for protection, favor, or acknowledgment of superiority.
  • B. isHeadwaterTributaryOf
    Indicates that one watercourse is a source or upstream tributary that feeds into another watercourse.
  • C. tributary
    Indicates that one watercourse flows into and feeds another, contributing its water to a larger stream, river, or lake.
  • D. hasTributaryRelation chosen
    Indicates a relationship where one entity serves as a tributary, paying regular tribute or acknowledging subordination to another entity.
  • E. isNaturalTributaryOf
    Indicates that one watercourse flows naturally into another, contributing its water as a tributary without artificial diversion.
  • 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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63894e5848190aec428392562ab06 completed May 2, 2026, 5:47 p.m.
PD Predicate disambiguation batch_69f6370c8c7c8190a02ea82847bb6e76 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 5:04 p.m.