Triple

T37600681
Position Surface form Disambiguated ID Type / Status
Subject Zhongsha Islands E935513 entity
Predicate disputedRegionOf P15542 FINISHED
Object South China Sea NE NERFINISHED

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: South China Sea | Statement: [Zhongsha Islands, disputedRegionOf, South China Sea]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disputedRegionOf
Context triple: [Zhongsha Islands, disputedRegionOf, South China Sea]
  • A. locatedInDisputedTerritory chosen
    Indicates that an entity is situated within a geographic area whose sovereignty or ownership is contested between two or more parties.
  • B. associatedTerritoryDispute
    Indicates that there is a territorial dispute or contested claim connected to the referenced entity or relationship.
  • C. conflictRegion
    Indicates that the entities are located in or associated with a geographic area characterized by active or recent conflict, tension, or hostilities.
  • D. countryContestedBy
    Indicates that control, ownership, or sovereignty over a country is disputed by multiple parties or entities.
  • E. hasDisputedMaritimeBoundary
    Indicates that there is an unresolved or contested maritime boundary claim between two or more entities.
  • 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_69f76ecf39c081909baffe597bb55273 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbacaf54648190811ea33b34907e8e completed May 6, 2026, 9:03 p.m.
PD Predicate disambiguation batch_69fba883f770819091059c6f6c6af9f7 completed May 6, 2026, 8:45 p.m.
Created at: May 3, 2026, 4:18 p.m.