Triple

T11057589
Position Surface form Disambiguated ID Type / Status
Subject Chasselas wine E261417 entity
Predicate primaryConsumptionContext P97560 FINISHED
Object local Swiss consumption 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: local Swiss consumption | Statement: [Chasselas wine, primaryConsumptionContext, local Swiss consumption]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryConsumptionContext
Context triple: [Chasselas wine, primaryConsumptionContext, local Swiss consumption]
  • A. primaryFunctionContext
    Indicates the main situational or operational context in which a function, role, or process is primarily intended to be used or performed.
  • B. primaryMode
    Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
  • C. primaryWorkContext
    Indicates the main environment, setting, or domain in which an entity typically performs its work or primary activities.
  • D. primaryUseInFeed
    Indicates that something is the main or most common way an item is used or presented within a feed.
  • E. primaryEngagement
    Indicates the main or most significant interaction, involvement, or relationship that an entity has with another entity or activity.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a2efa48190b290f43dfe836501 completed April 9, 2026, 12:16 p.m.
PD Predicate disambiguation batch_69d7440da46c8190a77380d5d747ac9c completed April 9, 2026, 6:15 a.m.
PDg Predicate description generation batch_69d750c99f9881908ee2b01b6ce4b3a1 completed April 9, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:26 p.m.