Triple

T11131264
Position Surface form Disambiguated ID Type / Status
Subject Altkirch E263286 entity
Predicate localSpecialityRegion P45120 FINISHED
Object Sundgau fried carp 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: Sundgau fried carp | Statement: [Altkirch, localSpecialityRegion, Sundgau fried carp]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: localSpecialityRegion
Context triple: [Altkirch, localSpecialityRegion, Sundgau fried carp]
  • A. regionOfCulinaryImportance chosen
    Indicates that a location is recognized for its significant culinary relevance, such as notable food traditions, specialties, or gastronomic culture.
  • B. specializationRegion
    Indicates that something is specialized, adapted, or specifically applicable to a particular geographic or spatial region.
  • C. regionSpecialization
    Indicates that a region is designated or recognized as being particularly focused on, adapted to, or specialized in a specific function, activity, or domain.
  • D. tourismRegion
    Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
  • E. wineRegionSpecialization
    Indicates a relationship where a wine-producing region is characterized by or particularly known for specializing in a specific type or style of wine.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e831f4808190afabdaa0e97bbe32 completed April 9, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69d75ce104908190b6cc31ef2f67846a completed April 9, 2026, 8:01 a.m.
Created at: April 8, 2026, 9:28 p.m.