Triple
T7736714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chambolle-Musigny |
E175400
|
entity |
| Predicate | hasGrandCruVineyard |
P12904
|
FINISHED |
| Object |
Bonnes-Mares
Bonnes-Mares is a prestigious Grand Cru vineyard in Burgundy’s Côte de Nuits, renowned for producing powerful, long-lived red wines primarily from Pinot Noir.
|
E689348
|
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: Bonnes-Mares | Statement: [Chambolle-Musigny, hasGrandCruVineyard, Bonnes-Mares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnes-Mares Context triple: [Chambolle-Musigny, hasGrandCruVineyard, Bonnes-Mares]
-
A.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
B.
Maringe
Maringe is an alternate name for the Cheke Holo language spoken in the Solomon Islands.
-
C.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
D.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
E.
Gros-Caillou
Gros-Caillou is a residential and historically bourgeois neighborhood in Paris’s 7th arrondissement, situated near landmarks like the Eiffel Tower and the Champ de Mars.
- 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: Bonnes-Mares Triple: [Chambolle-Musigny, hasGrandCruVineyard, Bonnes-Mares]
Generated description
Bonnes-Mares is a prestigious Grand Cru vineyard in Burgundy’s Côte de Nuits, renowned for producing powerful, long-lived red wines primarily from Pinot Noir.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bonnes-Mares Target entity description: Bonnes-Mares is a prestigious Grand Cru vineyard in Burgundy’s Côte de Nuits, renowned for producing powerful, long-lived red wines primarily from Pinot Noir.
-
A.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
B.
Maringe
Maringe is an alternate name for the Cheke Holo language spoken in the Solomon Islands.
-
C.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
D.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
E.
Gros-Caillou
Gros-Caillou is a residential and historically bourgeois neighborhood in Paris’s 7th arrondissement, situated near landmarks like the Eiffel Tower and the Champ de Mars.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035923108190842025631e2314cc |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8fa2a4d388190bbc037a3f89bbf49 |
completed | March 29, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69c8faeaf610819087115315c2c1a3c5 |
completed | March 29, 2026, 10:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8fb4c55b48190be95a4299ce4b5c9 |
completed | March 29, 2026, 10:13 a.m. |
Created at: March 27, 2026, 4:07 p.m.