Triple
T515569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École Polytechnique |
E10698
|
entity |
| Predicate | admissionVia |
P58
|
FINISHED |
| Object | competitive entrance examination |
—
|
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: competitive entrance examination | Statement: [École Polytechnique, admissionVia, competitive entrance examination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admissionVia Context triple: [École Polytechnique, admissionVia, competitive entrance examination]
-
A.
admissionOrder
Indicates the sequence or priority in which admissions occur or are processed relative to one another.
-
B.
barAdmission
Indicates that a legal professional has been formally admitted to practice law before a particular bar or court.
-
C.
admissionPolicy
chosen
Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
-
D.
admittedToUnionFrom
Indicates that an entity (such as a state or region) was admitted into a union or larger political entity from a specified prior jurisdiction or status.
-
E.
boardingProcess
Indicates the process or sequence of actions by which passengers move from a waiting area onto a vehicle (such as an airplane, train, or bus).
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f232fa688190b08a2fe3f22c7a6e |
completed | Feb. 28, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69a2f013c05481909e6dc87e7b20ebd8 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.