Triple
T19880953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chichaoua Province |
E477767
|
entity |
| Predicate | hasUrbanMunicipalities |
P115801
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chichaoua Province, hasUrbanMunicipalities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanMunicipalities Context triple: [Chichaoua Province, hasUrbanMunicipalities, yes]
-
A.
hasUrbanLocalities
chosen
Indicates that an entity possesses or includes one or more urban localities within its jurisdiction or scope.
-
B.
hasUrbanDistrictCount
Indicates the number of urban districts associated with a given entity.
-
C.
isUrbanLocalGovernmentUnitOf
Indicates that one entity functions as the urban local government authority responsible for administering the other entity.
-
D.
hasUrbanOkrug
Indicates that an entity is associated with, belongs to, or is administered as an urban okrug (a type of municipal urban district).
-
E.
hasUrbanPopulationIn
Indicates that an entity has a specified urban population within a particular geographic area or administrative unit.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658de4b288190a41bee67f570be1e |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.