Triple

T18494361
Position Surface form Disambiguated ID Type / Status
Subject British Parliament (fictional political setting) E451900 entity
Predicate degreeOfFictionalization P64759 FINISHED
Object high 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: high | Statement: [British Parliament (fictional political setting), degreeOfFictionalization, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: degreeOfFictionalization
Context triple: [British Parliament (fictional political setting), degreeOfFictionalization, high]
  • A. fictionalizationLevel chosen
    Indicates the degree to which an event, account, or representation has been altered, embellished, or invented relative to factual reality.
  • B. fictionalizationOf
    Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
  • C. fictionalStatus
    Indicates that an entity exists only in imagination or narrative and does not correspond to a real-world counterpart.
  • D. hasFictionalScope
    Indicates that something pertains to, applies within, or is limited to a fictional or imagined context rather than real-world scope.
  • E. fictionalSecurityLevel
    Indicates the degree or category of security status assigned within a fictional or imagined 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532bf206c8190a146cd1abd752152 completed April 19, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69e469dbf5208190b6fc49e02a087f54 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:35 a.m.