Triple
T35738841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabalega Falls |
E1032974
|
entity |
| Predicate | dropsFromElevation |
P183873
|
FINISHED |
| Object | about 1200 metres above sea level |
—
|
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 1200 metres above sea level | Statement: [Kabalega Falls, dropsFromElevation, about 1200 metres above sea level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dropsFromElevation Context triple: [Kabalega Falls, dropsFromElevation, about 1200 metres above sea level]
-
A.
dropsFrom
Indicates that one entity falls, descends, or is released from another entity as its source or origin.
-
B.
dropHeight
Indicates the vertical distance from which an object is released or allowed to fall.
-
C.
dropsOutOf
Indicates that an entity discontinues participation in, or withdraws from, another entity such as a course, program, or organization.
-
D.
verticalDrop_ft
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
E.
dropType
Indicates the manner or category of how something is dropped, released, or caused to fall.
- 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.