Triple
T12632226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shin-Okubo Koreatown |
E301670
|
entity |
| Predicate | cuisineSpecialty |
P1016
|
FINISHED |
| Object | tteokbokki |
E626566
|
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: tteokbokki | Statement: [Shin-Okubo Koreatown, cuisineSpecialty, tteokbokki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tteokbokki Context triple: [Shin-Okubo Koreatown, cuisineSpecialty, tteokbokki]
-
A.
tteokbokki
chosen
Tteokbokki is a popular Korean street food dish made of chewy rice cakes simmered in a spicy, slightly sweet gochujang-based sauce, often served with fish cakes and vegetables.
-
B.
Baeggu
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
-
C.
Ankwei-Goemai
Ankwei-Goemai is an alternative name for the Goemai language spoken by the Goemai people of central Nigeria.
-
D.
Mandu
Mandu is a historic fortified city in central India renowned for its Afghan-era architecture, romantic legends, and scenic hilltop setting.
-
E.
Bulgogi
Bulgogi is a popular Korean dish of thinly sliced, marinated beef grilled or pan-cooked for a savory-sweet flavor.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610e4f408190946f37325d69375c |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66871998c8190af8bd3f9ec596ada |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:15 p.m.