Triple
T30181906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugandan Muslims |
E767223
|
entity |
| Predicate | mainMosque |
P38665
|
FINISHED |
| Object | Uganda National Mosque |
—
|
NE NERFINISHED |
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: Uganda National Mosque | Statement: [Ugandan Muslims, mainMosque, Uganda National Mosque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainMosque Context triple: [Ugandan Muslims, mainMosque, Uganda National Mosque]
-
A.
JumaMosqueInstanceOf
Indicates that something is classified as an instance of a Juma (Friday) mosque.
-
B.
hasMosque
chosen
Indicates that one entity possesses, contains, or is the location of a mosque.
-
C.
isOneOfTheLargestMosquesIn
Indicates that the subject mosque ranks among the largest mosques located in the specified place or region.
-
D.
isMajorReligiousBuildingOf
Indicates that a building serves as the primary or most significant religious structure associated with a particular religious group, institution, or area.
-
E.
mainPrayerHallType
Indicates the specific architectural or functional type assigned to a main prayer hall within a religious or worship-related structure.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f42c4708190accbdb72ae9c9816 |
completed | May 2, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:26 p.m.