Triple

T1755088
Position Surface form Disambiguated ID Type / Status
Subject Lord Lieutenant of Cornwall E38531 entity
Predicate mayNotHold P23670 FINISHED
Object certain elected political offices while in post 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: certain elected political offices while in post | Statement: [Lord Lieutenant of Cornwall, mayNotHold, certain elected political offices while in post]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayNotHold
Context triple: [Lord Lieutenant of Cornwall, mayNotHold, certain elected political offices while in post]
  • A. mayHold
    Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
  • B. notHeldDuring
    Indicates that a specified condition, event, or relationship does not occur or is not in effect throughout a given time interval or temporal context.
  • C. didNotHold
    Indicates that an expected event, condition, or relationship failed to occur or be valid.
  • D. cannotHoldSimultaneously chosen
    Indicates that two conditions or states are mutually exclusive and cannot both be true or occur at the same time.
  • E. holdsUnder
    Indicates that one entity maintains possession, control, or validity of another entity subject to certain conditions, constraints, or a specific context.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aba6a63f588190b53b39c6b97d74f4 completed March 7, 2026, 4:16 a.m.
PD Predicate disambiguation batch_69aa61c7ef4c8190abec87c96a787d82 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.