Triple
T5526310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont d'Or cheese |
E144929
|
entity |
| Predicate | associatedWithCuisine |
P2830
|
FINISHED |
| Object | French cuisine |
E237544
|
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: French cuisine | Statement: [Mont d'Or cheese, associatedWithCuisine, French cuisine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French cuisine Context triple: [Mont d'Or cheese, associatedWithCuisine, French cuisine]
-
A.
French cuisine
chosen
French cuisine is a renowned culinary tradition characterized by its regional diversity, refined techniques, rich sauces, and emphasis on high-quality ingredients and wine.
-
B.
Lu cuisine
Lu cuisine is one of the Eight Great Traditions of Chinese cuisine, renowned for its fresh ingredients, savory flavors, and masterful use of soups and seafood.
-
C.
The French
The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
-
D.
French
French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
-
E.
French AOC
French AOC is France’s official appellation system that designates and regulates wines and other agricultural products based on their geographic origin and traditional production methods.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f89112c8190b276317fcc2acce0 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027fa22108190b55c07fe930ca4f1 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:34 p.m.