Triple
T10215422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massif des Bauges |
E242427
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object | Thoiry |
E148083
|
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: Thoiry | Statement: [Massif des Bauges, containsVillage, Thoiry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thoiry Context triple: [Massif des Bauges, containsVillage, Thoiry]
-
A.
Thoiry
chosen
Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
B.
Couvet
Couvet is a village in the Val-de-Travers district of the canton of Neuchâtel in western Switzerland, known historically as the birthplace of the jurist Emer de Vattel.
-
C.
Thônes
Thônes is a small Alpine town in southeastern France, known as a gateway to the Aravis mountains and for its traditional Reblochon cheese production.
-
D.
Tournus
Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
-
E.
Ambert
Ambert is a small commune in central France known for its traditional paper mills and as a center of production for Fourme d'Ambert blue cheese.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa2894d0819095704449ecc2db6c |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e27c2dc8190a5b3173fbcb01114 |
completed | April 10, 2026, 4:35 a.m. |
Created at: April 6, 2026, 11:04 a.m.