Triple
T13857039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPGE |
E333092
|
entity |
| Predicate | secondYearNickname |
P22552
|
FINISHED |
| Object | khâgne |
—
|
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: khâgne | Statement: [CPGE, secondYearNickname, khâgne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondYearNickname Context triple: [CPGE, secondYearNickname, khâgne]
-
A.
secondPeriodName
Indicates the name or label assigned to the second period in an ordered sequence of time intervals or stages.
-
B.
secondGenerationName
Indicates that the object is the name given to the second generation derived from the subject.
-
C.
secondLevelName
Indicates that one entity specifies the secondary or subordinate name associated with another entity, typically within a hierarchical naming structure.
-
D.
academyNickname
chosen
Indicates that an entity is known by a particular informal or colloquial nickname within an academy or academic institution context.
-
E.
secondLetter
Indicates that one entity is the second letter (in sequence or position) of another entity, typically a string or word.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.