Triple
T3042910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée Blanche ski route |
E83173
|
entity |
| Predicate | approximateVerticalDrop |
P34387
|
FINISHED |
| Object | about 2800 metres |
—
|
LITERAL 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: about 2800 metres | Statement: [Vallée Blanche ski route, approximateVerticalDrop, about 2800 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateVerticalDrop Context triple: [Vallée Blanche ski route, approximateVerticalDrop, about 2800 metres]
-
A.
skiVerticalDrop
chosen
Indicates the vertical distance in elevation from the top to the bottom of a ski run or ski area.
-
B.
approximateHeightOfFallsViewed
Indicates the estimated vertical height of the waterfalls as observed or perceived by the viewer.
-
C.
dropHeight
Indicates the vertical distance from which an object is released or allowed to fall.
-
D.
depthMetresApprox
Indicates an approximate measurement of how deep something is in metres, rather than an exact value.
-
E.
distanceFallen
Indicates the amount of vertical distance an object has moved downward from its starting point due to falling.
- F. None of above.
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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5d2a308190b4ce20efcae9b761 |
completed | March 8, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.