Triple
T22068868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandwacht Mountains |
E545351
|
entity |
| Predicate | distanceFromCapeTown_km |
P23676
|
FINISHED |
| Object | approximately 100 |
—
|
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 100 | Statement: [Brandwacht Mountains, distanceFromCapeTown_km, approximately 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCapeTown_km Context triple: [Brandwacht Mountains, distanceFromCapeTown_km, approximately 100]
-
A.
distanceFromCapeTown
chosen
Indicates the measured distance between a given location and Cape Town.
-
B.
distanceToDurban_km
Indicates the physical distance, measured in kilometers, between a given location and the city of Durban.
-
C.
distanceToJohannesburg_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and Johannesburg.
-
D.
distanceFromPretoria
Indicates the spatial distance between a given entity or location and the city of Pretoria.
-
E.
distanceToBloemfontein
Indicates the spatial distance between a given entity’s location and the city of Bloemfontein.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12885fe04819092cdde142f91e147 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.