Triple
T30184013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyangugu |
E767282
|
entity |
| Predicate | usedToBeAdministrativeCenterOf |
P23608
|
FINISHED |
| Object | Cyangugu Province |
—
|
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: Cyangugu Province | Statement: [Cyangugu, usedToBeAdministrativeCenterOf, Cyangugu Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToBeAdministrativeCenterOf Context triple: [Cyangugu, usedToBeAdministrativeCenterOf, Cyangugu Province]
-
A.
usedToBeSeatOf
chosen
Indicates that an entity previously served as the official seat or administrative center of another entity, but no longer holds that status.
-
B.
formerCapitalOf
Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
-
C.
capitalOfProvincePreviouslyLocatedOn
Indicates that an entity serves or served as the capital city of a province that was formerly situated in a specified location.
-
D.
administrativeCenterNowLocatedIn
Indicates that the current administrative center of an entity is located within a specified place or jurisdiction.
-
E.
wasDeFactoCapitalOf
Indicates that a place functioned in practice as the capital of a political entity, even if it was not officially designated as such.
- 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_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 29, 2026, 7:26 p.m.