Triple

T37251272
Position Surface form Disambiguated ID Type / Status
Subject Nightmute, Alaska E923995 entity
Predicate fictionalPortrayalAspect P49090 FINISHED
Object isolated community 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: isolated community | Statement: [Nightmute, Alaska, fictionalPortrayalAspect, isolated community]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalPortrayalAspect
Context triple: [Nightmute, Alaska, fictionalPortrayalAspect, isolated community]
  • A. fictionalPortrayalOf
    Indicates that one entity is a fictional representation, depiction, or dramatization of another entity.
  • B. fictionalPortrayalSubject
    Indicates that one entity is the subject or topic being portrayed, depicted, or represented in a fictional work by another entity.
  • C. portraysFictionalized
    Indicates that one entity represents or depicts another entity in a fictionalized or altered manner, rather than as a strictly accurate portrayal.
  • D. portrayalFeature chosen
    Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of another entity.
  • E. fictionalCharacterDepicted
    Indicates that one entity is a fictional character and the other is a work or medium in which that character is visually or narratively depicted.
  • 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_69f76eaabb4c819093b751b139dad551 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff56ef0a5c8190ae729d66a8cf7fc4 completed May 9, 2026, 3:46 p.m.
PD Predicate disambiguation batch_69ff539859c481909ec56310da418688 completed May 9, 2026, 3:32 p.m.
Created at: May 3, 2026, 4:15 p.m.