Triple

T24360591
Position Surface form Disambiguated ID Type / Status
Subject Exclusive Economic Zone of Argentina E614043 entity
Predicate borderDisputesInvolve P49394 FINISHED
Object United Kingdom 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: United Kingdom | Statement: [Exclusive Economic Zone of Argentina, borderDisputesInvolve, United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderDisputesInvolve
Context triple: [Exclusive Economic Zone of Argentina, borderDisputesInvolve, United Kingdom]
  • A. borderDisputesWith chosen
    Indicates that there are contested or unresolved boundary claims between two entities.
  • B. borderDisputeResolvedBy
    Indicates that a previously contested border between entities has been settled or resolved through the specified agent, process, or agreement.
  • C. associatedTerritoryDispute
    Indicates that there is a territorial dispute or contested claim connected to the referenced entity or relationship.
  • D. legalStatusOfBorders
    Indicates the legal status or recognition of a defined border between territories or jurisdictions.
  • E. borderDemarcationTreaties
    Indicates the existence of formal treaties that define, establish, or adjust the official boundary lines between two or more territories or jurisdictions.
  • 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_69e2d7dfe7f08190b7a1f3a36483ab05 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29383ccb88190a4752fe7ccd93fd5 completed April 29, 2026, 11:25 p.m.
PD Predicate disambiguation batch_69f287bb1b2c81909c2e7fcc392ad143 completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2 a.m.