Triple
T38595276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kjeragbolten |
E934054
|
entity |
| Predicate | hikingRouteLength |
P30396
|
FINISHED |
| Object | approximately 10–12 km round trip |
—
|
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 10–12 km round trip | Statement: [Kjeragbolten, hikingRouteLength, approximately 10–12 km round trip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hikingRouteLength Context triple: [Kjeragbolten, hikingRouteLength, approximately 10–12 km round trip]
-
A.
hikeLength
chosen
Indicates the distance or duration associated with a hiking activity or trail.
-
B.
tourLength
Indicates the total duration or distance covered by a tour or route.
-
C.
totalRouteLength
Indicates the overall distance or length of an entire route when all its segments are combined.
-
D.
climbLength
Indicates the total distance or vertical extent covered by a climbing route or ascent.
-
E.
trailDistanceApprox
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
- 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_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.