Triple
T11284894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Jura |
E267159
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Ajoie |
E107394
|
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: Ajoie | Statement: [Canton of Jura, hasRegion, Ajoie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajoie Context triple: [Canton of Jura, hasRegion, Ajoie]
-
A.
Ajoie
chosen
Ajoie is a traditional rural region in the northwest of the Swiss canton of Jura, known for its agricultural landscape, historic villages, and distinct local culture.
-
B.
Agiez
Agiez is a small municipality in the canton of Vaud in western Switzerland.
-
C.
Aujon
Aujon is a river in northeastern France that flows through the Haute-Marne department.
-
D.
Achagua
Achagua are an Indigenous people of the Orinoco region in Colombia and Venezuela, traditionally known for their riverine lifestyle, agriculture, and distinct Arawakan language.
-
E.
Barshaini
Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9855e8881909bd301718cbd8ca1 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f48070ac8190b0e4d49f42ac3896 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 8, 2026, 9:31 p.m.