Triple
T10909798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bindura |
E257664
|
entity |
| Predicate | universitySpecialization |
P2582
|
FINISHED |
| Object | science education |
—
|
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: science education | Statement: [Bindura, universitySpecialization, science education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universitySpecialization Context triple: [Bindura, universitySpecialization, science education]
-
A.
offersFieldOfStudy
chosen
Indicates that an institution or program provides a particular field of study as an available area of academic focus.
-
B.
collegeMajor
Indicates that a person’s primary field of academic study at a college or university is a specified subject or discipline.
-
C.
typeOfUniversity
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
-
D.
university2
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
-
E.
publicUniversityType
Indicates that an institution is classified as a public university, typically funded and operated by government or state authorities.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77068e5488190bbc881ebf51d6b2e |
completed | April 9, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69d70d3d69e08190bb369e9a7927142c |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.