Triple

T13464295
Position Surface form Disambiguated ID Type / Status
Subject Makassarese E311454 entity
Predicate traditionalFoodCulture P1016 FINISHED
Object South Sulawesi cuisine 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: South Sulawesi cuisine | Statement: [Makassarese, traditionalFoodCulture, South Sulawesi cuisine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalFoodCulture
Context triple: [Makassarese, traditionalFoodCulture, South Sulawesi cuisine]
  • A. traditionalFoodBase
    Indicates that one entity serves as the primary ingredient, staple, or foundational component of a traditional food associated with another entity.
  • B. traditionalCuisine chosen
    Indicates that an entity is associated with the customary or historically rooted style of cooking and food preparation characteristic of a particular culture, region, or community.
  • C. foodCulture
    Indicates the relationship between a place or group and its characteristic traditions, practices, and preferences surrounding food and eating.
  • D. traditionalDish
    Indicates that the object is a dish customarily prepared, eaten, or recognized within the subject’s cultural or regional tradition.
  • E. haveDistinctCulinaryTraditions
    Indicates that the related entities possess different and distinguishable culinary practices, cuisines, or food-related customs from one another.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0f1830819085700b4521e44678 completed April 12, 2026, 2:41 p.m.
PD Predicate disambiguation batch_69dbadfddefc81909ef7fde23b181b5c completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:41 p.m.