Triple

T1104551
Position Surface form Disambiguated ID Type / Status
Subject bibimbap E25456 entity
Predicate typicallyServedAs P23174 FINISHED
Object main course 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: main course | Statement: [bibimbap, typicallyServedAs, main course]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicallyServedAs
Context triple: [bibimbap, typicallyServedAs, main course]
  • A. alsoServes
    Indicates that an entity, in addition to its primary role or function, provides service or support to another specified entity or group.
  • B. servesMostly
    Indicates that one entity primarily functions to serve, support, or cater to another entity, more than to any other.
  • C. servesUnder
    Indicates that one entity works in a subordinate role under the authority, command, or supervision of another entity.
  • D. alsoServesAs
    Indicates that one entity has an additional role, function, or identity that it fulfills simultaneously with its primary one.
  • E. isServedAt
    Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
  • F. None of above. chosen

Provenance (4 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e1047481909af1cf8df2a01fff completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b7472c848190b0643872f67084a2 completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b7da38888190a118ef20ce4ae9aa completed March 1, 2026, 10:04 p.m.
Created at: March 1, 2026, 7:43 p.m.