Triple
T15302265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preikestolen |
E365816
|
entity |
| Predicate | hasSheerDrop |
P118026
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Preikestolen, hasSheerDrop, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSheerDrop Context triple: [Preikestolen, hasSheerDrop, yes]
-
A.
hasFinalDrop
Indicates that an entity experiences or possesses a last or concluding decrease, reduction, or decline in some quantity, state, or value.
-
B.
hasNumberOfDrops
Indicates the quantity or count of drops associated with an entity or event.
-
C.
hasSplashdown
Indicates that an object or vehicle returns from flight or space and lands in water rather than on solid ground.
-
D.
hasDropTrack
Indicates that an entity includes or is associated with a track or section where a drop (sudden descent or fall) occurs.
-
E.
hasWeave
Indicates that one entity possesses, exhibits, or is characterized by a particular weave or woven pattern associated with another 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccd575c8190aa43262d3b73ef3c |
completed | April 16, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:15 a.m.