Triple
T38261246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42 Paris |
E1017933
|
entity |
| Predicate | hasPedagogyFeature |
P40345
|
FINISHED |
| Object | no traditional teachers |
—
|
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: no traditional teachers | Statement: [42 Paris, hasPedagogyFeature, no traditional teachers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPedagogyFeature Context triple: [42 Paris, hasPedagogyFeature, no traditional teachers]
-
A.
hasPedagogicalFunction
Indicates that something serves an educational or instructional role or purpose within a teaching or learning context.
-
B.
hasPedagogicalSystem
Indicates that an educational institution, program, or context is associated with or employs a particular pedagogical system or teaching methodology.
-
C.
hasEducationalFeature
chosen
Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
-
D.
hasTeachingMode
Indicates that an entity is associated with a particular method, style, or mode of teaching or instruction.
-
E.
containsTeachingOf
Indicates that one entity includes, embodies, or presents the teaching, doctrine, or instructional content associated with another entity.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
Created at: May 3, 2026, 4:30 p.m.