Triple

T12047344
Position Surface form Disambiguated ID Type / Status
Subject Annonay E286819 entity
Predicate isSubprefecture P9697 FINISHED
Object no 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: no | Statement: [Annonay, isSubprefecture, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSubprefecture
Context triple: [Annonay, isSubprefecture, no]
  • A. subprefectureOf
    Indicates that one administrative subprefecture is a subordinate division within and officially belongs to a larger governing region or prefecture.
  • B. subprefecture chosen
    Indicates that an entity is a subprefecture (an administrative subdivision) of another administrative region or jurisdiction.
  • C. containsSubprefecture
    Indicates that one administrative region includes a subprefecture within its territorial or organizational boundaries.
  • D. hasPrefecture
    Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
  • E. subprefectureCapital
    Indicates that one entity serves as the administrative capital or seat of government for a given subprefecture.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902bac9e08190aa1a99c835f29542 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:47 p.m.