Triple
T20128130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 826 Valencia |
E490810
|
entity |
| Predicate | hasTeachingApproach |
P122484
|
FINISHED |
| Object | project-based learning |
—
|
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: project-based learning | Statement: [826 Valencia, hasTeachingApproach, project-based learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeachingApproach Context triple: [826 Valencia, hasTeachingApproach, project-based learning]
-
A.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
B.
hasTeachingMode
chosen
Indicates that an entity is associated with a particular method, style, or mode of teaching or instruction.
-
C.
containsTeachingOf
Indicates that one entity includes, embodies, or presents the teaching, doctrine, or instructional content associated with another entity.
-
D.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
E.
hasTeachingContext
Indicates that an entity is associated with a specific educational or instructional setting in which teaching occurs.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6675fe3d48190b0c20b483a951e68 |
completed | April 20, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:31 p.m.