Triple
T15346113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavillon du Mont Fréty station |
E366922
|
entity |
| Predicate | offersViewOf |
P3821
|
FINISHED |
| Object | Val Veny |
E70462
|
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: Val Veny | Statement: [Pavillon du Mont Fréty station, offersViewOf, Val Veny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Veny Context triple: [Pavillon du Mont Fréty station, offersViewOf, Val Veny]
-
A.
Val Veny
chosen
Val Veny is a scenic alpine valley near Courmayeur in Italy’s Aosta Valley, known for its dramatic views of Mont Blanc, hiking trails, and natural landscapes.
-
B.
Val Lumnezia
Val Lumnezia is a scenic alpine valley in southeastern Switzerland known for its Romansh culture, traditional villages, and hiking and skiing opportunities.
-
C.
Seu Vella
Seu Vella is a historic hilltop cathedral and iconic landmark overlooking the city of Lleida in Catalonia, Spain.
-
D.
Vanney
Vanney is the surname of Greg Vanney, a former American soccer player and current professional soccer coach.
-
E.
Val Venosta
Val Venosta is a valley in South Tyrol in northern Italy, known for its alpine landscapes, apple orchards, and mix of Italian and German-speaking culture.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e1749bc8190a8b9cbcb27288a5b |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f931408190828d87567cecaceb |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.