Triple
T16262869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juvasshytta |
E394797
|
entity |
| Predicate | distanceToGaldhøpiggenSummit |
P97110
|
FINISHED |
| Object | about 5 km hiking route |
—
|
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 5 km hiking route | Statement: [Juvasshytta, distanceToGaldhøpiggenSummit, about 5 km hiking route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToGaldhøpiggenSummit Context triple: [Juvasshytta, distanceToGaldhøpiggenSummit, about 5 km hiking route]
-
A.
distanceToSummit
chosen
Indicates the measured or estimated distance remaining from a given point to the summit of a feature or elevation.
-
B.
distanceToScafellPikeSummit
Indicates the measured or estimated distance from an entity to the summit of Scafell Pike.
-
C.
distanceToDenali
Indicates the measured or estimated spatial distance between a given entity and Denali.
-
D.
stoppedDistanceBelowSummit
Indicates that an entity came to a stop at a location that is a certain distance short of reaching the summit.
-
E.
distanceToAlps
Indicates the spatial distance between a given location or entity and the Alps.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c5583c8190901e892238cf8dbd |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.