Triple
T21641201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Eastern cuisine |
E534090
|
entity |
| Predicate | hasDish |
P17589
|
FINISHED |
| Object | fattoush |
—
|
NE NERFINISHED |
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: fattoush | Statement: [Middle Eastern cuisine, hasDish, fattoush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: fattoush Context triple: [Middle Eastern cuisine, hasDish, fattoush]
-
A.
Ful medames
Ful medames is a traditional Middle Eastern dish of slow-cooked fava beans, commonly eaten for breakfast and considered a national staple of Egyptian cuisine.
-
B.
Salat
The Salat is a river in southwestern France that flows through the Ariège department before joining the Garonne.
-
C.
tabbouleh
chosen
Tabbouleh is a fresh Levantine salad made primarily of finely chopped parsley, tomatoes, bulgur, mint, and lemon-olive oil dressing.
-
D.
Soufli
Soufli is a small town in northeastern Greece renowned for its historic silk industry and traditional architecture.
-
E.
Lahmacun
Lahmacun is a popular Middle Eastern flatbread topped with spiced minced meat, herbs, and vegetables, often associated with Turkish and Levantine cuisine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef53917f3c81909e7f4074beecefd3 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.