Triple
T16664991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays du Mont-Blanc |
E404960
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Domancy |
E343879
|
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: Domancy | Statement: [Pays du Mont-Blanc, contains, Domancy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domancy Context triple: [Pays du Mont-Blanc, contains, Domancy]
-
A.
Domancy
chosen
Domancy is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France.
-
B.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
C.
Montdidier
Montdidier is a small historic town in northern France, located in the Somme department of the Hauts-de-France region.
-
D.
Dumaria
Dumaria is a locality within Bihar's Gaya district in eastern India, known as one of its administrative and inhabited areas.
-
E.
Dourdan
Dourdan is a commune in the Essonne department in the southern suburbs of Paris, France, known for its historic medieval castle and role as a terminus on the RER C suburban rail line.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9be0688190afda306cde934c68 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084d21ed4819089fc70f92653694d |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.