Triple
T32821208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilemela District |
E839439
|
entity |
| Predicate | sharesCityAreaWith |
P38278
|
FINISHED |
| Object | Nyamagana District |
—
|
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: Nyamagana District | Statement: [Ilemela District, sharesCityAreaWith, Nyamagana District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesCityAreaWith Context triple: [Ilemela District, sharesCityAreaWith, Nyamagana District]
-
A.
relatedUrbanArea
Indicates that one urban area is geographically or functionally associated with another urban area, such as being nearby, connected, or part of the same broader metropolitan context.
-
B.
formsUrbanAreaWith
chosen
Indicates that two or more settlements are geographically and functionally connected so that together they constitute a single continuous urban area.
-
C.
cityArea
Indicates the total geographic area covered by a city.
-
D.
hasNearbyCityArea
Indicates that one area is geographically close to or adjacent to a city area.
-
E.
sharesAreaWith
Indicates that two entities occupy or overlap the same geographic or spatial area.
- 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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
Created at: May 1, 2026, 1:15 a.m.