Triple
T487160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École Normale (Paris) |
E9902
|
entity |
| Predicate | admissionProcess |
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 Normale (Paris), admissionProcess, competitive entrance examination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admissionProcess Context triple: [École Normale (Paris), admissionProcess, competitive entrance examination]
-
A.
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).
-
B.
admissionOrder
Indicates the sequence or priority in which admissions occur or are processed relative to one another.
-
C.
admissionPolicy
chosen
Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
-
D.
UNAdmissionDate
Indicates the date on which an entity was officially admitted as a member of the United Nations.
-
E.
designationProcess
Indicates the process by which an entity is formally assigned, conferred, or recognized with a particular status, role, or designation.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0de66308190a18503a482881cfc |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf63fbc819090ea6ca11f39116a |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.