Triple

T38468180
Position Surface form Disambiguated ID Type / Status
Subject Abondance cheese E912631 entity
Predicate mainProductionDepartment P190931 FINISHED
Object Haute-Savoie NE NERFINISHED

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: Haute-Savoie | Statement: [Abondance cheese, mainProductionDepartment, Haute-Savoie]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainProductionDepartment
Context triple: [Abondance cheese, mainProductionDepartment, Haute-Savoie]
  • A. mainProduction
    Indicates that one entity serves as the primary or central production associated with another entity, such as a main work, show, or output.
  • B. mainProductionState
    Indicates the primary state or region where the production of something (e.g., a product, work, or content) predominantly takes place.
  • C. fromProduction
    Indicates that something originates from, is derived from, or is produced by a particular production process, source, or facility.
  • D. partOfProduction
    Indicates that one entity functions as a component, segment, or phase within the overall process or structure of another production.
  • E. motherDepartment
    Indicates that one department is the parent or higher-level organizational unit of another department.
  • 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_69f76e861d8c81908559031dc66e3c15 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd34596288190b8e34a7a20b4c0db completed May 7, 2026, 6 p.m.
PD Predicate disambiguation batch_69fcd1f6b2e08190bf0300ae7c9ae67a completed May 7, 2026, 5:55 p.m.
PDg Predicate description generation batch_69fcd31227708190a7df213597e66ca8 completed May 7, 2026, 5:59 p.m.
Created at: May 3, 2026, 4:31 p.m.