Triple
T4604202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vosges department |
E100389
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | La Bresse |
E326493
|
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: La Bresse | Statement: [Vosges department, contains, La Bresse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Bresse Context triple: [Vosges department, contains, La Bresse]
-
A.
La Bresse
chosen
La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
-
B.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
C.
La Dôle
La Dôle is a prominent mountain peak in the Jura range of western Switzerland, known for its panoramic views over Lake Geneva and the Alps and for hosting telecommunications and weather facilities near its summit.
-
D.
Armançon
Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
-
E.
Vallée de Chaudefour
Vallée de Chaudefour is a protected glacial valley in France’s Massif Central, renowned for its dramatic volcanic landscapes, rich biodiversity, and popular hiking trails.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5999f9c88190a43309573df61159 |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be034e509c8190b2da7e2eaf2acb48 |
completed | March 21, 2026, 2:32 a.m. |
Created at: March 20, 2026, 1:12 p.m.