Triple
T23876148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isi-Uzo |
E592869
|
entity |
| Predicate | hasEducationalFacilitiesType |
P115410
|
FINISHED |
| Object | Primary 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: Primary Schools | Statement: [Isi-Uzo, hasEducationalFacilitiesType, Primary Schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalFacilitiesType Context triple: [Isi-Uzo, hasEducationalFacilitiesType, Primary Schools]
-
A.
hasEducationFacilities
Indicates that an entity possesses or provides educational institutions, services, or infrastructure for learning and training.
-
B.
hasPrimaryEducationFacilityType
chosen
Indicates the type or category of primary education facility associated with an entity.
-
C.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
D.
hasSecondaryEducationFacilityType
Indicates the type or category of secondary education facility associated with an entity.
-
E.
hasEducationalServiceArea
Indicates that an entity (such as an educational institution or authority) is responsible for providing educational services within a specified geographic area.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cc012974819090b34aad6a230f81 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:15 p.m.