Triple
T27740801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copperbelt mining towns |
E701846
|
entity |
| Predicate | haveEducationFacilities |
P87985
|
FINISHED |
| Object | secondary schools |
—
|
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: secondary schools | Statement: [Copperbelt mining towns, haveEducationFacilities, secondary schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveEducationFacilities Context triple: [Copperbelt mining towns, haveEducationFacilities, secondary schools]
-
A.
hasEducationFacilities
chosen
Indicates that an entity possesses or provides educational institutions, services, or infrastructure for learning and training.
-
B.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
C.
hasPrimaryEducationFacilityType
Indicates the type or category of primary education facility associated with an entity.
-
D.
hasSecondaryEducationFacilityType
Indicates the type or category of secondary education facility associated with an entity.
-
E.
containsEducationalInstitution
Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 4:10 p.m.