Triple
T11347904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chablais region |
E268766
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dents du Midi |
E922704
|
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: Dents du Midi | Statement: [Chablais region, contains, Dents du Midi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dents du Midi Context triple: [Chablais region, contains, Dents du Midi]
-
A.
Dents du Midi
chosen
Dents du Midi is a prominent multi-summited mountain massif in the Swiss Alps, known for its striking jagged peaks overlooking the Rhône Valley.
-
B.
Les Montets
Les Montets is a small municipality in the canton of Fribourg in western Switzerland.
-
C.
Mont-Dore
Mont-Dore is a spa and ski resort town in central France’s Massif Central, known for its thermal springs and access to the nearby volcanic landscapes.
-
D.
Mont-Dore
Mont-Dore is a coastal commune and suburb of Nouméa in New Caledonia, known for its mountainous landscapes and residential areas.
-
E.
Dent d'Hérens
Dent d'Hérens is a prominent alpine peak on the Swiss-Italian border, located near the Matterhorn in the Pennine Alps.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea214bb88190bb66f7fd3ef73081 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b7d91168819096823e59a63ec24d |
completed | April 20, 2026, 5:21 a.m. |
Created at: April 8, 2026, 9:33 p.m.