Triple

T5707982
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom consulates-general E125831 entity
Predicate cannotProvide P17604 FINISHED
Object full legal representation 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: full legal representation | Statement: [United Kingdom consulates-general, cannotProvide, full legal representation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cannotProvide
Context triple: [United Kingdom consulates-general, cannotProvide, full legal representation]
  • A. cannotOffer
    Indicates that one entity is unable or not permitted to provide, propose, or extend an offer to another entity.
  • B. cannot chosen
    Indicates that one entity lacks the ability, permission, or possibility to perform an action or participate in a specified relationship with another entity.
  • C. cannotIntroduce
    Indicates that one entity is not permitted or able to introduce another entity (such as a person, concept, or item) into a given context or to a third party.
  • D. cannotGrant
    Indicates that an entity lacks the authority, permission, or ability to confer a requested right, access, or resource to another entity.
  • E. wouldProvide
    Indicates that one entity is willing or expected to supply or furnish something to another entity under certain conditions.
  • 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.