Triple

T34953039
Position Surface form Disambiguated ID Type / Status
Subject Jungmi Treaty E1008052 entity
Predicate powerAsymmetry P86673 FINISHED
Object favoring Empire of Japan 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: favoring Empire of Japan | Statement: [Jungmi Treaty, powerAsymmetry, favoring Empire of Japan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerAsymmetry
Context triple: [Jungmi Treaty, powerAsymmetry, favoring Empire of Japan]
  • A. powerImbalance chosen
    Indicates a relationship where one party holds significantly more power, control, or influence than the other.
  • B. powerBy
    Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
  • C. powerPosition
    Indicates that one entity holds a position of authority, control, or dominance over another within a hierarchy or power structure.
  • D. asymmetric
    Indicates that the relationship between two entities never holds in both directions simultaneously, so if it holds from A to B it cannot also hold from B to A.
  • E. powerBalance
    Indicates the relative distribution of power or influence between entities in a relationship or interaction.
  • 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_69f76dc5d4308190b77553ee07b1ede6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fba2877b248190a974eb092243c0c4 completed May 6, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69fb8d06a1b48190a937aa410d159dfa completed May 6, 2026, 6:48 p.m.
Created at: May 3, 2026, 4 p.m.