Triple
T13021038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutarazi Falls |
E326169
|
entity |
| Predicate | hasAdventureFacility |
P6792
|
FINISHED |
| Object | skywalk |
—
|
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: skywalk | Statement: [Mutarazi Falls, hasAdventureFacility, skywalk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdventureFacility Context triple: [Mutarazi Falls, hasAdventureFacility, skywalk]
-
A.
hasRecreationFacility
chosen
Indicates that one entity provides, contains, or is equipped with a recreational facility for use by another entity or by the public.
-
B.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
-
C.
hasWaterRide
Indicates that an entity features or includes at least one water-based ride or attraction.
-
D.
numberOfAttractions
Indicates the total count of attractions associated with a given entity or context.
-
E.
isMajorAttractionIn
Indicates that something is a primary or highly significant attraction within a particular place or location.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:52 p.m.