Triple
T2456480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinshasa |
E54433
|
entity |
| Predicate | isProvincialStatus |
P31397
|
FINISHED |
| Object | city-province |
—
|
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: city-province | Statement: [Kinshasa, isProvincialStatus, city-province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProvincialStatus Context triple: [Kinshasa, isProvincialStatus, city-province]
-
A.
isInProvince
Indicates that one entity (typically a place or city) is located within the administrative boundaries of a specified province.
-
B.
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.
-
C.
isProvincialLevelMunicipality
chosen
Indicates that a municipality holds the administrative status and authority of a province-level jurisdiction within a country’s governmental hierarchy.
-
D.
isProvincialCapital
Indicates that a location serves as the administrative capital of a province within a country or region.
-
E.
hasProvinceLevelUnit
Indicates that one administrative or territorial entity possesses or contains a sub-unit at the province (or equivalent) level.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.