Triple
T30184012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyangugu |
E767282
|
entity |
| Predicate | isProvincialUrbanCenter |
P48441
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cyangugu, isProvincialUrbanCenter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProvincialUrbanCenter Context triple: [Cyangugu, isProvincialUrbanCenter, true]
-
A.
isUrbanCenter
Indicates that a place functions as a primary, densely developed hub of population, services, and activities within a region.
-
B.
isProvincialCityOf
chosen
Indicates that a city serves as an administrative or officially designated city within a specified province.
-
C.
isSubProvincialCity
Indicates that a city holds a sub-provincial administrative status, ranking below a province but above ordinary prefecture-level cities in the governmental hierarchy.
-
D.
isProvincialCapital
Indicates that a location serves as the administrative capital of a province within a country or region.
-
E.
isUrbanCentreFor
Indicates that one place functions as the primary urban hub or central city serving another area or population.
- 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_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 7:26 p.m.