Triple

T33648266
Position Surface form Disambiguated ID Type / Status
Subject Island of Sodor E862021 entity
Predicate locatedBetweenFictional P206619 FINISHED
Object Isle of Man and mainland Great Britain — 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: Isle of Man and mainland Great Britain | Statement: [Island of Sodor, locatedBetweenFictional, Isle of Man and mainland Great Britain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedBetweenFictional
Context triple: [Island of Sodor, locatedBetweenFictional, Isle of Man and mainland Great Britain]
  • A. locatedInFictionalContext
    Indicates that one entity exists or occurs within the setting or universe of a fictional work associated with another entity.
  • B. locatedInFictionalEvent
    Indicates that one entity (typically a place, object, or character) exists or occurs within the context or setting of a fictional event.
  • C. basedInFictionalSetting
    Indicates that an entity’s primary location or setting exists within a fictional or imaginary world rather than the real world.
  • D. locatedNearFiction
    Indicates that one fictional entity or place is situated close to another within an imagined or narrative context.
  • E. locatedInFictionalCountry
    Indicates that an entity exists or is situated within a country that is fictional rather than real.
  • F. None of above. chosen

Provenance (4 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_69f349840ba881908e3bfce536aeb92b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037e0953908190b2930b3c06a40129 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a0379f6c3308190b954f7810214ceed completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037e07fe4481909ca21eae7a941ee7 completed May 12, 2026, 7:22 p.m.
Created at: May 1, 2026, 1:42 a.m.