Triple

T15772660
Position Surface form Disambiguated ID Type / Status
Subject Reykjabók E382399 entity
Predicate hasWorkTypePreserved P104843 FINISHED
Object prose narrative 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: prose narrative | Statement: [Reykjabók, hasWorkTypePreserved, prose narrative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWorkTypePreserved
Context triple: [Reykjabók, hasWorkTypePreserved, prose narrative]
  • A. hasWorkTypeRelation chosen
    Indicates a relationship specifying the type or category of work associated with an entity.
  • B. hasPreservationType
    Indicates the specific method or category of preservation applied to an entity (e.g., how it is stored, conserved, or kept intact).
  • C. hasWorkAdaptationType
    Indicates the type of adaptation or modification applied to a work (e.g., translation, abridgment, dramatization) in relation to its original form.
  • D. hasWorkPart
    Indicates that one work is a component, section, or constituent part of another, larger work.
  • E. hasWorkAdaptedBy
    Indicates that one work has been transformed or re-created into another work, such as through adaptation into a different medium or format.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051976d248190adddd3db9f758e22 completed April 16, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69e00531e7ac8190a4190cce4f7fab4c completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:47 a.m.