Triple

T29072819
Position Surface form Disambiguated ID Type / Status
Subject Hawaiian Kingdom legation in London E735853 entity
Predicate counterpartInHostCountry P6587 FINISHED
Object British Foreign Office 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: British Foreign Office | Statement: [Hawaiian Kingdom legation in London, counterpartInHostCountry, British Foreign Office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: counterpartInHostCountry
Context triple: [Hawaiian Kingdom legation in London, counterpartInHostCountry, British Foreign Office]
  • A. hasCounterpart chosen
    Indicates that one entity corresponds to, matches, or serves as an equivalent or parallel version of another entity.
  • B. counterpartLocatedAt
    Indicates that one entity serves as the corresponding or matching counterpart of another entity at a specific location or site.
  • C. counterpartService
    Indicates that one service functions as the corresponding or matching service to another within a defined relationship or context.
  • D. counterpartRelation
    Indicates a reciprocal relationship where two entities serve as corresponding or equivalent counterparts to each other in a given context.
  • E. hasCounterpartName
    Indicates that an entity has an alternative or corresponding name used as its counterpart in another context, system, or representation.
  • 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_69f077e9b0a48190bb79548279cb7f64 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69fedfd913f48190bdcd450980868d9a completed May 9, 2026, 7:18 a.m.
PD Predicate disambiguation batch_69fedf58c6e88190821a7156054c9086 completed May 9, 2026, 7:16 a.m.
Created at: April 28, 2026, 10:21 a.m.