Triple
T4259678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Épernay |
E96071
|
entity |
| Predicate | hasChampagneHouse |
P55000
|
FINISHED |
| Object |
Boizel
Boizel is a historic Champagne producer renowned for its elegant, terroir-driven sparkling wines crafted in Épernay, France.
|
E427466
|
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: Boizel | Statement: [Épernay, hasChampagneHouse, Boizel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boizel Context triple: [Épernay, hasChampagneHouse, Boizel]
-
A.
Dugommier
Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
-
B.
Charny
Charny is a French commune located in the Île-de-France region, known for its rural character within the greater Paris metropolitan area.
-
C.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
-
D.
Hautepierre
Hautepierre is a residential district in the western part of Strasbourg, France, known for its large housing estates and local commercial centers.
-
E.
Oberkampf
Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
- 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: Boizel Triple: [Épernay, hasChampagneHouse, Boizel]
Generated description
Boizel is a historic Champagne producer renowned for its elegant, terroir-driven sparkling wines crafted in Épernay, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boizel Target entity description: Boizel is a historic Champagne producer renowned for its elegant, terroir-driven sparkling wines crafted in Épernay, France.
-
A.
Dugommier
Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
-
B.
Charny
Charny is a French commune located in the Île-de-France region, known for its rural character within the greater Paris metropolitan area.
-
C.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
-
D.
Hautepierre
Hautepierre is a residential district in the western part of Strasbourg, France, known for its large housing estates and local commercial centers.
-
E.
Oberkampf
Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7fe7348190baed8d214268b756 |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78825508190b2b6ca46c8e1b27c |
completed | March 14, 2026, 7:31 p.m. |
| NEDg | Description generation | batch_69b5b84b58a081909618d0c108317f92 |
completed | March 14, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b8be90c88190a4852c625e326f6b |
completed | March 14, 2026, 7:36 p.m. |
Created at: March 12, 2026, 11:06 p.m.