Triple
T14047878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sioma, Zambia |
E338006
|
entity |
| Predicate | distanceToNgonyeFalls |
P42849
|
FINISHED |
| Object | near |
—
|
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: near | Statement: [Sioma, Zambia, distanceToNgonyeFalls, near]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNgonyeFalls Context triple: [Sioma, Zambia, distanceToNgonyeFalls, near]
-
A.
distanceFromVictoriaFalls
Indicates the measured distance between a given location and Victoria Falls.
-
B.
distanceFromFalls
chosen
Indicates the measured distance between a location or object and a specified waterfall or falls.
-
C.
distanceToKrugerNationalPark
Indicates the measured distance between a given location and Kruger National Park.
-
D.
viewingDistanceFromFalls
Indicates the distance from which an observer views or experiences the falls.
-
E.
distanceToIguazuFallsApprox
Indicates an approximate physical distance between a subject and Iguazu Falls.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c88b5e48190b0f0149102c08992 |
completed | April 14, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.