Triple
T2417275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École Centrale des Arts et Manufactures |
E52333
|
entity |
| Predicate | trainingProfile |
P32757
|
FINISHED |
| Object | generalist engineer |
—
|
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: generalist engineer | Statement: [École Centrale des Arts et Manufactures, trainingProfile, generalist engineer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingProfile Context triple: [École Centrale des Arts et Manufactures, trainingProfile, generalist engineer]
-
A.
trainingBase
Indicates that one entity serves as the training base, site, or facility where another entity receives training or instruction.
-
B.
trainingCharacteristic
chosen
Indicates that an entity has a specific property, feature, or quality related to training (such as method, intensity, or style).
-
C.
trainingComponent
Indicates that one entity functions as a training-related part, module, or element within a larger training process or system involving another entity.
-
D.
trainingSystem
Indicates a system or framework used to train, instruct, or develop skills or knowledge in a target entity.
-
E.
training
Indicates that one entity is teaching, coaching, or otherwise helping another entity acquire or improve a skill, behavior, or capability.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94eafd481909eeff689e5bf5960 |
completed | March 7, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:42 p.m.