Triple
T25270475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludong University |
E633553
|
entity |
| Predicate | hasEducationalScope |
P159735
|
FINISHED |
| Object | comprehensive |
—
|
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: comprehensive | Statement: [Ludong University, hasEducationalScope, comprehensive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalScope Context triple: [Ludong University, hasEducationalScope, comprehensive]
-
A.
hasEducationalDimension
Indicates that something includes, involves, or contributes to an educational aspect, purpose, or impact within the relationship or context described.
-
B.
hasEducationalUse
Indicates that something is intended to be used for educational or instructional purposes.
-
C.
hasEducationalAudience
Indicates that something is intended for or directed toward a specific educational audience or learner group.
-
D.
isEducational
Indicates that something serves to teach, instruct, or facilitate learning for an audience.
-
E.
hasEducationalOrientation
Indicates that one entity is oriented toward, focused on, or characterized by a particular educational approach, philosophy, or direction in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f5f7a205688190b8f36bff5013247c |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 21, 2026, 1:16 p.m.