Triple

T36594083
Position Surface form Disambiguated ID Type / Status
Subject BEM E902747 entity
Predicate honourJurisdiction P145220 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: [BEM, honourJurisdiction, United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: honourJurisdiction
Context triple: [BEM, honourJurisdiction, United Kingdom]
  • A. honorsJurisdiction chosen
    Indicates that one entity recognizes and respects the legal authority, rules, or governance of another jurisdiction.
  • B. nobleJurisdiction
    Indicates that an entity holds legal or administrative authority associated with nobility over a certain domain or group.
  • C. definedJurisdictionOf
    Indicates that one entity formally establishes or specifies the scope, boundaries, or authority of another entity’s jurisdiction.
  • D. heldForJurisdiction
    Indicates that an entity is being detained or kept in custody specifically for legal or jurisdictional reasons by a particular authority.
  • E. canonicalJurisdictionOf
    Indicates that one entity holds official legal or ecclesiastical authority over another entity or domain as its recognized jurisdiction.
  • 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_69f76e6592e88190bac4eb00a46e9df9 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:11 p.m.