Triple

T9606460
Position Surface form Disambiguated ID Type / Status
Subject Ethnologue E231982 entity
Predicate hasPrintFormat P34185 FINISHED
Object multi-volume book 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: multi-volume book | Statement: [Ethnologue, hasPrintFormat, multi-volume book]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrintFormat
Context triple: [Ethnologue, hasPrintFormat, multi-volume book]
  • A. hasPrintVersion
    Indicates that one entity exists or is available as a printed or physical edition of another entity.
  • B. hasPrintFeature
    Indicates that an entity possesses a specific printing-related characteristic or capability.
  • C. hasProductionFormat chosen
    Indicates that an entity is associated with, or presented in, a particular production or media format.
  • D. hasPublishingFormat
    Indicates that an entity is associated with a specific format or medium in which it is published or made publicly available.
  • E. hasFinalFormat
    Indicates that an entity possesses or is associated with its completed, finalized version or representation.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a6006d48190adc03306533b9be6 completed April 1, 2026, 10:21 p.m.
PD Predicate disambiguation batch_69ccd5a6fd2481908efd131e207b8143 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:08 p.m.