Triple
T23096104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Rwanda |
E575892
|
entity |
| Predicate | relativeLocationWithinCountry |
P46910
|
FINISHED |
| Object | eastern part of Rwanda |
—
|
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: eastern part of Rwanda | Statement: [Eastern Rwanda, relativeLocationWithinCountry, eastern part of Rwanda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeLocationWithinCountry Context triple: [Eastern Rwanda, relativeLocationWithinCountry, eastern part of Rwanda]
-
A.
locatedNearCountry
Indicates that one entity is geographically situated close to the borders or territory of a specified country.
-
B.
geographicDirectionWithinCountry
chosen
Indicates that one place lies in a specified cardinal or intercardinal direction relative to another place within the same country.
-
C.
hasRelativePositionInCity
Indicates that one entity occupies a specific spatial or positional relationship within the boundaries or layout of a particular city.
-
D.
locationRelativeToLargestCity
Indicates how a place is spatially positioned or oriented in relation to the largest city in a given area or region.
-
E.
nearbyFacilityCountry
Indicates that a facility is located in or near the specified country.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de522e48190a37e6c2fda2de465 |
completed | April 29, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.