Triple
T13428936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crottin de Chavignol |
E313555
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Chavignol
Chavignol is a small village in France’s Loire Valley renowned for its traditional goat’s milk cheese, Crottin de Chavignol.
|
E1044996
|
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: Chavignol | Statement: [Crottin de Chavignol, namedAfter, Chavignol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chavignol Context triple: [Crottin de Chavignol, namedAfter, Chavignol]
-
A.
La Roche-Guyon
La Roche-Guyon is a picturesque village in northern France on the banks of the Seine, known for its historic château built into limestone cliffs.
-
B.
Chassezac
The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
-
C.
Marignier
Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
D.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
E.
Villeroux
Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
- 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: Chavignol Triple: [Crottin de Chavignol, namedAfter, Chavignol]
Generated description
Chavignol is a small village in France’s Loire Valley renowned for its traditional goat’s milk cheese, Crottin de Chavignol.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chavignol Target entity description: Chavignol is a small village in France’s Loire Valley renowned for its traditional goat’s milk cheese, Crottin de Chavignol.
-
A.
La Roche-Guyon
La Roche-Guyon is a picturesque village in northern France on the banks of the Seine, known for its historic château built into limestone cliffs.
-
B.
Chassezac
The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
-
C.
Marignier
Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
D.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
E.
Villeroux
Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed304ac8190a8021f749de8164c |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7547880d48190af9b30e4e521a952 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f75585cac88190bcf3fcd714d73b1b |
completed | May 3, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7561f170c8190b12c79fbbe57ad91 |
completed | May 3, 2026, 2:05 p.m. |
Created at: April 9, 2026, 9:40 p.m.