Triple
T12694225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Pèlerin, Switzerland |
E303286
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Mont Pèlerin (French) |
E318887
|
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: Mont Pèlerin (French) | Statement: [Mont Pèlerin, Switzerland, hasNameInLanguage, Mont Pèlerin (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont Pèlerin (French) Context triple: [Mont Pèlerin, Switzerland, hasNameInLanguage, Mont Pèlerin (French)]
-
A.
Mont Pèlerin
chosen
Mont Pèlerin is a mountain in the canton of Vaud, Switzerland, overlooking Lake Geneva and known for its scenic views and vineyards.
-
B.
Montagnieu
Montagnieu is a commune in the Ain department of eastern France, situated within the historic wine-producing area of Bugey.
-
C.
Montbel
Montbel is a commune in southwestern France, known for its proximity to the artificial Lac de Montbel, a popular spot for swimming and outdoor recreation.
-
D.
Les Montets
Les Montets is a small municipality in the canton of Fribourg in western Switzerland.
-
E.
Puy-Guillaume
Puy-Guillaume is a small commune in central France’s Puy-de-Dôme department, known for its rural character and location near the Dore River.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ebd17081909f983567e4b36533 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7c4c608190a1786accf8d86141 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:22 p.m.