Triple

T30806053
Position Surface form Disambiguated ID Type / Status
Subject JBJ Soul Kitchen E784500 entity
Predicate followsModelSimilarTo P139639 FINISHED
Object pay-what-you-can restaurant 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: pay-what-you-can restaurant | Statement: [JBJ Soul Kitchen, followsModelSimilarTo, pay-what-you-can restaurant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsModelSimilarTo
Context triple: [JBJ Soul Kitchen, followsModelSimilarTo, pay-what-you-can restaurant]
  • A. moreSimilarTo
    Indicates that one entity bears a greater degree of similarity to a second entity than to a third entity, according to some defined similarity measure.
  • B. trainingModelSimilarTo
    Indicates that one training model is similar to another in terms of structure, behavior, or learned characteristics.
  • C. lessSimilarTo
    Indicates that one entity is considered to share fewer similarities or a weaker resemblance with another entity compared to some reference or alternative.
  • D. similarItemGroup
    Indicates that two or more items belong to the same group because they share similar characteristics, attributes, or functions.
  • E. similarSchemeIn chosen
    Indicates that one entity uses a scheme or structural pattern that is similar to that used in 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_69f224b3a7ec819096939414d103e31e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd509e6bc08190b263923c2f40fea3 completed May 8, 2026, 2:55 a.m.
PD Predicate disambiguation batch_69fd4fd1a58881909d4b84de1b24e380 completed May 8, 2026, 2:52 a.m.
Created at: April 29, 2026, 8:43 p.m.