Triple

T31603900
Position Surface form Disambiguated ID Type / Status
Subject LND E806422 entity
Predicate countryOfIdentifiedEntity P118930 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: [LND, countryOfIdentifiedEntity, United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryOfIdentifiedEntity
Context triple: [LND, countryOfIdentifiedEntity, United Kingdom]
  • A. countryOfReferent
    Indicates that one entity is the country with which the referenced entity (the referent) is associated or to which it belongs.
  • B. countryOf chosen
    Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
  • C. associatedCountryMostProminently
    Indicates the country with which an entity is most strongly or prominently associated, relative to any other countries it may be linked to.
  • D. associatedCountry
    Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
  • E. associatedCountryAtTheTime
    Indicates the country with which an entity was linked or affiliated during a specific historical time or event, rather than its current or permanent country association.
  • 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_69f348d54ccc8190a03b5df9a2b40b25 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fff4530f908190afe9387f732c2b7e completed May 10, 2026, 2:58 a.m.
PD Predicate disambiguation batch_69fff3c01a64819091196875b0c88607 completed May 10, 2026, 2:56 a.m.
Created at: April 30, 2026, 10:34 p.m.