Triple

T1173818
Position Surface form Disambiguated ID Type / Status
Subject Korean cuisine E24971 entity
Predicate signatureDish P491 FINISHED
Object bibimbap E25456 NE 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: bibimbap | Statement: [Korean cuisine, signatureDish, bibimbap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bibimbap
Context triple: [Korean cuisine, signatureDish, bibimbap]
  • A. bibimbap chosen
    Bibimbap is a traditional Korean rice dish topped with assorted vegetables, meat, egg, and spicy gochujang sauce, all mixed together before eating.
  • B. Mandu
    Mandu is a historic fortified city in central India renowned for its Afghan-era architecture, romantic legends, and scenic hilltop setting.
  • C. Okonomiyaki
    Okonomiyaki is a savory Japanese pancake made from a batter of flour, cabbage, and various mix-ins, typically grilled and topped with a rich sauce, mayonnaise, and bonito flakes.
  • D. Korean cuisine
    Korean cuisine is the traditional food culture of Korea, known for its bold flavors, fermented dishes like kimchi, and communal meals centered around rice, vegetables, and seasoned meats.
  • E. Khinkali
    Khinkali is a popular Georgian dumpling typically filled with spiced meat and broth, known for its distinctive twisted top and eaten by hand.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcee38c881909c2fc73ba35f7253 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac668a135881909b885e2816ee8240 completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:45 p.m.