Triple
T10295296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosi-oa-Tunya |
E241468
|
entity |
| Predicate | visibleMistDistance |
P42842
|
FINISHED |
| Object | up to tens of kilometres under some conditions |
—
|
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: up to tens of kilometres under some conditions | Statement: [Mosi-oa-Tunya, visibleMistDistance, up to tens of kilometres under some conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visibleMistDistance Context triple: [Mosi-oa-Tunya, visibleMistDistance, up to tens of kilometres under some conditions]
-
A.
skyBeamVisibility
Indicates that a skyward-directed beam (such as a light or energy beam) is visible from a given location or viewpoint.
-
B.
visibilityFromSea
Indicates that something can be seen or is visually detectable when viewed from the sea.
-
C.
visibilityFromShore
Indicates that something can be seen or is visually detectable from the shoreline or coast.
-
D.
viewingDistanceFromFalls
chosen
Indicates the distance from which an observer views or experiences the falls.
-
E.
peakVisibility
Indicates the degree to which a peak (such as a mountain or summit) is visible from a given location or under certain conditions.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ea9b3c8190b11518b259d5825c |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:43 a.m.