Triple
T5036547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koreans |
E113436
|
entity |
| Predicate | traditionalFood |
P1016
|
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: [Koreans, traditionalFood, Bibimbap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bibimbap Context triple: [Koreans, traditionalFood, 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.
sundubu jjigae
Sundubu jjigae is a popular Korean stew made with uncurdled soft tofu, vegetables, and often seafood or meat, simmered in a spicy, flavorful broth.
-
D.
samgyetang
Samgyetang is a traditional Korean soup made with a whole young chicken stuffed with glutinous rice and simmered in a ginseng-rich broth, often eaten for stamina during the hot summer months.
-
E.
Baeggu
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73bb069c8190af86f1b2f95f3d95 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c79265081908512b39cc74161f8 |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:37 p.m.