Triple
T38595258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kjeragbolten |
E934054
|
entity |
| Predicate | dropBelow |
P24809
|
FINISHED |
| Object | approximately 241 metres to Lysefjord |
—
|
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: approximately 241 metres to Lysefjord | Statement: [Kjeragbolten, dropBelow, approximately 241 metres to Lysefjord]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dropBelow Context triple: [Kjeragbolten, dropBelow, approximately 241 metres to Lysefjord]
-
A.
wasBelow
Indicates that one entity was positioned at a lower level or altitude than another entity at a given time.
-
B.
existsBelow
Indicates that at least one instance of an entity is located or occurs at a lower level or position relative to another entity.
-
C.
liesBelow
chosen
Indicates that one entity is positioned at a lower vertical level than another entity.
-
D.
dropHeight
Indicates the vertical distance from which an object is released or allowed to fall.
-
E.
lowestSide
Indicates that one side of an object or shape has the smallest length compared to all its other sides.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.