Triple
T1262187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shandong |
E12524
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
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.
|
E142970
|
NE FINISHED |
How this triple was built (4 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: Lu cuisine | Statement: [Shandong, knownFor, Lu cuisine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lu cuisine Context triple: [Shandong, knownFor, Lu cuisine]
-
A.
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.
-
B.
Viennois
Viennois is the French term for an inhabitant or native of the city of Vienne in southeastern France.
-
C.
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.
-
D.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
-
E.
FRENCH SUN
FRENCH SUN is the airline callsign used by the French low-cost carrier Transavia France for its flight operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lu cuisine Triple: [Shandong, knownFor, Lu cuisine]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lu cuisine Target entity description: 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.
-
A.
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.
-
B.
Viennois
Viennois is the French term for an inhabitant or native of the city of Vienne in southeastern France.
-
C.
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.
-
D.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
-
E.
FRENCH SUN
FRENCH SUN is the airline callsign used by the French low-cost carrier Transavia France for its flight operations.
- F. None of above. chosen
Provenance (5 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc77f4c8190b97a0ceaa31cfd49 |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93d1396c819084a3d0a6b7cf91f1 |
completed | March 7, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69ac9421e3ec81909e1d836f7ec115dc |
completed | March 7, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac94fd9904819088e1f8086f3e743e |
completed | March 7, 2026, 9:13 p.m. |
Created at: March 1, 2026, 7:50 p.m.