Triple
T28643507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Wikiversity |
E724992
|
entity |
| Predicate | projectFamily |
P33189
|
FINISHED |
| Object | Wikiversity |
—
|
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: Wikiversity | Statement: [Chinese Wikiversity, projectFamily, Wikiversity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectFamily Context triple: [Chinese Wikiversity, projectFamily, Wikiversity]
-
A.
familyProjectOf
Indicates that one entity is a project that is created, owned, or carried out by a particular family.
-
B.
parentProject
chosen
Indicates that one project serves as the direct higher-level or containing project in relation to another project.
-
C.
featuresFamilyFrom
Indicates that something includes or presents a family originating from or associated with a specified source.
-
D.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
E.
coreFamily
Indicates that one entity belongs to the other’s immediate (nuclear) family, such as parent, child, or sibling.
- 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_69f01d8423888190bd2f4e52605bf261 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 4:46 a.m.