Triple
T24441187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horseshoe Falls |
E616265
|
entity |
| Predicate | distanceFromSabie |
P156144
|
FINISHED |
| Object | approximately 10 km (by road) |
—
|
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: approximately 10 km (by road) | Statement: [Horseshoe Falls, distanceFromSabie, approximately 10 km (by road)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSabie Context triple: [Horseshoe Falls, distanceFromSabie, approximately 10 km (by road)]
-
A.
distanceFromSossusvlei
Indicates the measured spatial distance between a given location and Sossusvlei.
-
B.
distanceFromHadibu
Indicates the spatial distance between a given entity and the location of Hadibu.
-
C.
distanceFromMahikeng
Indicates the measured distance between a given entity and the location of Mahikeng.
-
D.
distanceToAmboseliNationalPark
Indicates the measured or estimated spatial distance between a given entity and Amboseli National Park.
-
E.
distanceToDurban_km
Indicates the physical distance, measured in kilometers, between a given location and the city of Durban.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2978bb5a0819087ef151937923b0a |
completed | April 29, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:17 a.m.