Triple
T21905746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Châtel-Guyon |
E540932
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Volvic |
—
|
NE NERFINISHED |
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: Volvic | Statement: [canton of Châtel-Guyon, contains, Volvic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volvic Context triple: [canton of Châtel-Guyon, contains, Volvic]
-
A.
Volvic
chosen
Volvic is a French town in the Auvergne region best known worldwide for its natural mineral water sourced from volcanic springs.
-
B.
San Pellegrino
San Pellegrino is an Italian brand best known for its naturally carbonated mineral water and flavored sparkling beverages.
-
C.
Vittel
Vittel is a French spa town renowned for its mineral water springs and bottled water brand, located in northeastern France.
-
D.
Perrier
Perrier is a French brand of naturally carbonated mineral water known for its distinctive green bottles and strong sparkling taste.
-
E.
Vichy mineral water
Vichy mineral water is a French naturally carbonated mineral water renowned for its high mineral content and long-standing use in balneotherapy and skincare.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d62a648190af7074251dc6a03a |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:36 p.m.