Triple
T13970529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rukungiri |
E336050
|
entity |
| Predicate | roadDistanceToKampala_km |
P46022
|
FINISHED |
| Object | about 380 |
—
|
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: about 380 | Statement: [Rukungiri, roadDistanceToKampala_km, about 380]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToKampala_km Context triple: [Rukungiri, roadDistanceToKampala_km, about 380]
-
A.
distanceFromKampala
chosen
Indicates the measured distance between a given location and the city of Kampala.
-
B.
distanceFromNairobi
Indicates the spatial distance between a given entity’s location and the city of Nairobi.
-
C.
distanceToBujumbura_km
Indicates the physical distance, measured in kilometers, between a given place or entity and the city of Bujumbura.
-
D.
directionFromKampala
Indicates the cardinal or relative compass direction in which one location lies when measured outward from Kampala.
-
E.
distanceToArusha
Indicates the measured spatial distance between a given entity and the location Arusha.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.