Triple
T36578547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nile Equatorial Lakes region |
E902322
|
entity |
| Predicate | coordinationUnitLocatedIn |
P185891
|
FINISHED |
| Object | Kigali |
—
|
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: Kigali | Statement: [Nile Equatorial Lakes region, coordinationUnitLocatedIn, Kigali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinationUnitLocatedIn Context triple: [Nile Equatorial Lakes region, coordinationUnitLocatedIn, Kigali]
-
A.
areLocatedAt
Indicates that one or more entities occupy or exist at a specific location or place.
-
B.
organizationLocatedAt
Indicates that an organization is situated or based at a specific geographic location or address.
-
C.
agencyLocatedIn
Indicates that an agency is situated or based within a specific geographic or administrative location.
-
D.
isLocatedOn
Indicates that one entity exists at or is situated upon the surface or area of another entity.
-
E.
collectivelyLocatedIn
Indicates that multiple entities are all located within the same place or spatial region considered as a group.
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.