Triple
T17372877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNESCO World Heritage Swiss Alps Jungfrau-Aletsch |
E422359
|
entity |
| Predicate | AletschGlacierLength |
P127236
|
FINISHED |
| Object | about 23 km |
—
|
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 23 km | Statement: [UNESCO World Heritage Swiss Alps Jungfrau-Aletsch, AletschGlacierLength, about 23 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AletschGlacierLength Context triple: [UNESCO World Heritage Swiss Alps Jungfrau-Aletsch, AletschGlacierLength, about 23 km]
-
A.
notableGlacier
Indicates that the subject is a glacier recognized for its particular significance, prominence, or noteworthiness.
-
B.
hasSkiRunsLength_km
Indicates the total length, in kilometers, of the ski runs associated with an entity.
-
C.
isLargestGlacierOn
Indicates that one glacier is the largest glacier located on a specified geographic entity (such as an island, continent, or region).
-
D.
glacialRoute
Indicates a path or course shaped, carved, or followed by a glacier as it moves across a landscape.
-
E.
numberOfGlaciers
Indicates the quantity of glaciers associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6a9ec881908bfe49413826d37e |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:44 a.m.