Triple
T1707629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levantine cuisine |
E36905
|
entity |
| Predicate | typicalDish |
P19483
|
FINISHED |
| Object | baba ghanoush |
E46463
|
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: baba ghanoush | Statement: [Levantine cuisine, typicalDish, baba ghanoush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: baba ghanoush Context triple: [Levantine cuisine, typicalDish, baba ghanoush]
-
A.
baba ghanoush
chosen
Baba ghanoush is a Middle Eastern dip made from roasted eggplant blended with tahini, lemon juice, garlic, and seasonings.
-
B.
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.
-
C.
Koshari
Koshari is a popular Egyptian street food dish made from a hearty mix of rice, lentils, pasta, and chickpeas topped with spiced tomato sauce and crispy fried onions.
-
D.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
E.
Mustardinha
Mustardinha is a neighborhood located in the city of Recife, in northeastern Brazil.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62f6fc9c8190b61cc9872cc2adc0 |
completed | March 6, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ad849648190b2bb0e2a50cd6c75 |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.