Triple
T8585915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaddafi National Mosque |
E203304
|
entity |
| Predicate | cityViewFromMinaret |
P81314
|
FINISHED |
| Object | Kampala skyline |
—
|
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: Kampala skyline | Statement: [Gaddafi National Mosque, cityViewFromMinaret, Kampala skyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityViewFromMinaret Context triple: [Gaddafi National Mosque, cityViewFromMinaret, Kampala skyline]
-
A.
numberOfBalconiesOnMinarets
Indicates the count of balconies present on the minarets associated with a given subject.
-
B.
towerViews
chosen
Indicates that a tower provides a view of, or overlooks, a particular place or object.
-
C.
hasMinarets
Indicates that an entity (typically a building) possesses one or more minarets as architectural features.
-
D.
floorCountOfMinaret
Indicates the number of floors or levels that a minaret has.
-
E.
hasMinaretHeightApprox
Indicates that an entity has a minaret whose height is approximately a specified value, allowing for some margin of imprecision.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:22 p.m.