Triple
T13589243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | concours d’entrée de l’École Polytechnique |
E324647
|
entity |
| Predicate | sélectionne |
P16786
|
FINISHED |
| Object | élèves-ingénieurs de l’X |
—
|
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: élèves-ingénieurs de l’X | Statement: [concours d’entrée de l’École Polytechnique, sélectionne, élèves-ingénieurs de l’X]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sélectionne Context triple: [concours d’entrée de l’École Polytechnique, sélectionne, élèves-ingénieurs de l’X]
-
A.
selectionFrom
chosen
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
-
B.
selectedTo
Indicates that one entity has been chosen or designated from a set of candidates to perform a role, receive something, or participate in an activity in relation to another entity.
-
C.
selectedAt
Indicates that an entity was chosen or picked at a specific point in time or under particular selection conditions.
-
D.
selectionCategory
Indicates the classification or grouping under which a particular selection or choice is categorized.
-
E.
selectionCharacteristic
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.