Triple
T10295295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosi-oa-Tunya |
E241468
|
entity |
| Predicate | hasMistPlumeHeight |
P92961
|
FINISHED |
| Object | up to several hundred metres |
—
|
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 several hundred metres | Statement: [Mosi-oa-Tunya, hasMistPlumeHeight, up to several hundred metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMistPlumeHeight Context triple: [Mosi-oa-Tunya, hasMistPlumeHeight, up to several hundred metres]
-
A.
hasPlume
Indicates that an entity possesses or exhibits a plume, such as a feathered tuft, spray, or column-like emission.
-
B.
flameHeight
Indicates the vertical extent or height reached by a flame during burning.
-
C.
hasPylonHeight
Indicates that an entity is associated with a specific height value of a pylon.
-
D.
heightIncludingFlame
Indicates the total vertical height of something measured from its base to the top of its flame.
-
E.
hasCliffHeight
Indicates the relationship between a cliff and the measurement of its vertical height.
- 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_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. |
| PDg | Predicate description generation | batch_69d4d29d7cf08190acd70cee634c5cdb |
completed | April 7, 2026, 9:47 a.m. |
Created at: April 6, 2026, 11:43 a.m.