Triple

T1026003
Position Surface form Disambiguated ID Type / Status
Subject Republic of Vietnam E22138 entity
Predicate lostControlOf P356 FINISHED
Object Paracel Islands to People's Republic of China in 1974 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: Paracel Islands to People's Republic of China in 1974 | Statement: [Republic of Vietnam, lostControlOf, Paracel Islands to People's Republic of China in 1974]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lostControlOf
Context triple: [Republic of Vietnam, lostControlOf, Paracel Islands to People's Republic of China in 1974]
  • A. lostTo chosen
    Indicates that one entity was defeated by another in a competition, conflict, or comparison.
  • B. lost
    Indicates that an entity no longer possesses or has been deprived of another entity it previously had.
  • C. lostPowerIn
    Indicates that an entity has experienced a loss of electrical or functional power while in or at a specified location or context.
  • D. lostPower
    Indicates that an entity has ceased to have electrical or functional power it previously possessed.
  • E. lostExclusiveRights
    Indicates that an entity no longer holds previously exclusive legal or contractual rights to something, allowing others to obtain or exercise those rights.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7f5e7b48190b26524573c2824ba completed March 1, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69a4b72619cc8190932fdfa0c74dc055 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.