Triple

T32136138
Position Surface form Disambiguated ID Type / Status
Subject Bulgur E820767 entity
Predicate isPreCooked P118373 FINISHED
Object true 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: true | Statement: [Bulgur, isPreCooked, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPreCooked
Context triple: [Bulgur, isPreCooked, true]
  • A. isNotCookedOn
    Indicates that one entity is not prepared or heated using another entity as the cooking surface, method, or medium.
  • B. isProcessedFood chosen
    Indicates that a food item has been altered from its natural state through industrial or mechanical methods such as refining, adding ingredients, or preserving.
  • C. typeOfPreparation
    Indicates the method or process by which something is prepared or made ready for use, consumption, or further action.
  • D. isBaked
    Indicates that an entity has undergone a baking process, typically by being cooked with dry heat in an oven or similar environment.
  • E. isCookedBy
    Indicates that something has been prepared or made ready for eating through cooking by a particular agent.
  • 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_69f349039e0c819091c7a7d322e3f46d completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b9a9bc4c8190a88918fc4f91136a completed May 3, 2026, 2:57 a.m.
PD Predicate disambiguation batch_69f6b3a970b0819090c6473844ffa8e3 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:30 a.m.