Triple

T4307670
Position Surface form Disambiguated ID Type / Status
Subject Ajika E93994 entity
Predicate hasTypicalSpice P44787 FINISHED
Object blue fenugreek 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: blue fenugreek | Statement: [Ajika, hasTypicalSpice, blue fenugreek]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypicalSpice
Context triple: [Ajika, hasTypicalSpice, blue fenugreek]
  • A. hasSpice chosen
    Indicates that one entity contains, includes, or is characterized by a particular spice or set of spices.
  • B. hasSpiciness
    Indicates that one entity possesses a certain level or quality of spiciness in relation to another entity or a defined scale.
  • C. typicalFlavor
    Indicates that something characteristically has or is associated with a particular flavor.
  • D. hasStapleFood
    Indicates that an entity’s primary or regularly consumed basic food item is another specified entity.
  • E. hasSpecialIndulgence
    Indicates that one entity grants or possesses a particular privilege, exemption, or favor specifically afforded to another entity.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d2af088190ad7cb035d6e0f8c2 completed March 12, 2026, 11:48 p.m.
PD Predicate disambiguation batch_69b34f4a07b08190a06ada0d9cbb14fb completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:11 p.m.