Triple
T16383515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oïl languages |
E397865
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Franc-Comtois |
E506575
|
NE FINISHED |
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: Franc-Comtois | Statement: [Oïl languages, hasPart, Franc-Comtois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franc-Comtois Context triple: [Oïl languages, hasPart, Franc-Comtois]
-
A.
Franc-Comtois
chosen
Franc-Comtois is a regional Romance dialect of eastern France, traditionally spoken in the historical region of Franche-Comté.
-
B.
Beauce
Beauce is a fertile agricultural plain in north-central France, often called the country’s “granary” for its extensive cereal production.
-
C.
Beauce
Beauce is a federal electoral district in Quebec, Canada, known for its conservative-leaning rural communities and long history of electing right-of-center representatives.
-
D.
Dauphinois
Dauphinois is a regional dialect of the Vivaro-Alpine variety of the Occitan language traditionally spoken in the Dauphiné area of southeastern France.
-
E.
Charlevoix region
The Charlevoix region is a picturesque area of Quebec, Canada, known for its dramatic St. Lawrence River landscapes, mountainous terrain, and historic rural communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319de83248190b5d43646fa9b6cda |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356b00408190beab51a23011be67 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.