Triple
T15787891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bresse |
E382785
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Bugey |
E280236
|
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: Bugey | Statement: [Bresse, borders, Bugey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bugey Context triple: [Bresse, borders, Bugey]
-
A.
Bugey
chosen
Bugey is a historical and wine-producing region in eastern France, known for its hilly landscapes and location in the foothills of the Jura Mountains.
-
B.
Ishimbay
Ishimbay is a town in the Republic of Bashkortostan, Russia, known for its oil industry and location in the southern Ural region.
-
C.
Araria
Araria is a town and administrative headquarters of Araria district in the northeastern part of the Indian state of Bihar, near the border with Nepal.
-
D.
Gorie
Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
-
E.
Miyama
Miyama is a Japanese municipality known for its traditional rural landscapes and cultural heritage.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e054048ff48190ad107c890ef73166 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90a6365c8190833431cf079b21fb |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.