Triple

T5707960
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom consulates-general E125831 entity
Predicate typicallyNotLocatedIn P52622 FINISHED
Object foreign capital cities 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: foreign capital cities | Statement: [United Kingdom consulates-general, typicallyNotLocatedIn, foreign capital cities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicallyNotLocatedIn
Context triple: [United Kingdom consulates-general, typicallyNotLocatedIn, foreign capital cities]
  • A. sometimesLocatedIn
    Indicates that an entity is located in a given place only at certain times or under certain conditions, rather than permanently or always.
  • B. notLocatedAt chosen
    Indicates that an entity is explicitly not situated, present, or found at a specified location.
  • C. locatedIn
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • D. isNotPartOf
    Indicates that one entity does not belong to, is not contained within, and is not a component or member of another entity.
  • E. locatedAlong
    Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024892fd88190a91133fc88365410 completed March 22, 2026, 5:19 p.m.
PD Predicate disambiguation batch_69c021c2d8bc8190b947c7d1f423d2f3 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:45 p.m.