Triple

T558935
Position Surface form Disambiguated ID Type / Status
Subject Time Europe E13404 entity
Predicate regionSpecificCoverage P5596 FINISHED
Object European Union politics 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: European Union politics | Statement: [Time Europe, regionSpecificCoverage, European Union politics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionSpecificCoverage
Context triple: [Time Europe, regionSpecificCoverage, European Union politics]
  • A. regionSpecificContent chosen
    Indicates that certain content is tailored, restricted, or applicable only to a particular geographic region or set of regions.
  • B. regionException
    Indicates an exception or exclusion to a rule, condition, or classification that applies specifically to a certain region or set of regions.
  • C. jurisdictionCovered
    Indicates that a particular jurisdiction or legal authority is included within the scope or coverage of another entity, rule, or arrangement.
  • D. reignCoverage
    Indicates the temporal span or extent over which a ruler’s reign or authority is in effect.
  • E. mapCoverage
    Indicates the extent or area that is represented, covered, or included by a particular map.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499df43f08190b514a38d36fc271d completed March 1, 2026, 7:56 p.m.
PD Predicate disambiguation batch_69a494bd78e8819083c519669158f209 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.