Triple
T9788411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French cuisine |
E237544
|
entity |
| Predicate | hasDish |
P17589
|
FINISHED |
| Object | cassoulet |
E495093
|
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: cassoulet | Statement: [French cuisine, hasDish, cassoulet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: cassoulet Context triple: [French cuisine, hasDish, cassoulet]
-
A.
cassoulet de Castelnaudary
chosen
Cassoulet de Castelnaudary is a rich, slow-cooked French casserole of white beans and assorted meats, traditionally regarded as the most famous and emblematic version of cassoulet.
-
B.
Pot-Bouille
Pot-Bouille is a naturalist novel by Émile Zola that exposes the hypocrisy and moral corruption of bourgeois life in a Parisian apartment building.
-
C.
Boudin
Boudin is a French surname most famously associated with Eugène Boudin, a pioneering 19th-century landscape and marine painter linked to the origins of Impressionism.
-
D.
La Soupe
La Soupe is a somber, monochromatic painting by Pablo Picasso that exemplifies the emotional depth and social themes of his Blue Period.
-
E.
Mirepoix
Mirepoix is a medieval bastide town in southwestern France known for its picturesque half-timbered houses and arcaded central square.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2131164819099e8644e40a3cab6 |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c427cb2c81909fce8e1958ab3282 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:27 p.m.