Triple
T12755085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bujagali Falls |
E304836
|
entity |
| Predicate | distanceFromJinja |
P56200
|
FINISHED |
| Object | approximately 8 kilometers north |
—
|
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 8 kilometers north | Statement: [Bujagali Falls, distanceFromJinja, approximately 8 kilometers north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromJinja Context triple: [Bujagali Falls, distanceFromJinja, approximately 8 kilometers north]
-
A.
distancedFrom
chosen
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
B.
approxDistanceToJos
Indicates that one entity is located at an approximate distance from the entity referred to as Jos.
-
C.
distanceToBingham
Indicates the measured or calculated distance between a given entity and the location named Bingham.
-
D.
distanceFromHadibu
Indicates the spatial distance between a given entity and the location of Hadibu.
-
E.
distanceMetric
Indicates a quantitative measure of how far apart two entities are within a given space or according to a specified metric.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:27 p.m.