Triple
T13857040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPGE |
E333092
|
entity |
| Predicate | firstYearNickname |
P10581
|
FINISHED |
| Object |
hypokhâgne
Hypokhâgne is the first year of France’s selective humanities-focused preparatory classes for the competitive entrance exams to elite grandes écoles.
|
E1066931
|
NE FINISHED |
How this triple was built (5 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: hypokhâgne | Statement: [CPGE, firstYearNickname, hypokhâgne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: hypokhâgne Context triple: [CPGE, firstYearNickname, hypokhâgne]
-
A.
Petite École
Petite École was a French art school in Paris known for training young artists in drawing and decorative arts, attended by notable figures such as Auguste Rodin.
-
B.
École
École is a small French village located in the Massif des Bauges mountain range in southeastern France.
-
C.
École de la Gradelle
École de la Gradelle is a local primary school serving the community of Chêne-Bougeries in the canton of Geneva, Switzerland.
-
D.
Gymnasium
Gymnasium is a modern open-source toolkit for developing and comparing reinforcement learning algorithms, serving as a successor and refinement to OpenAI Gym.
-
E.
La Maternelle
La Maternelle is a French film in which actor Victor Francen delivered one of his most recognized performances.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: hypokhâgne Triple: [CPGE, firstYearNickname, hypokhâgne]
Generated description
Hypokhâgne is the first year of France’s selective humanities-focused preparatory classes for the competitive entrance exams to elite grandes écoles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: hypokhâgne Target entity description: Hypokhâgne is the first year of France’s selective humanities-focused preparatory classes for the competitive entrance exams to elite grandes écoles.
-
A.
Petite École
Petite École was a French art school in Paris known for training young artists in drawing and decorative arts, attended by notable figures such as Auguste Rodin.
-
B.
École
École is a small French village located in the Massif des Bauges mountain range in southeastern France.
-
C.
École de la Gradelle
École de la Gradelle is a local primary school serving the community of Chêne-Bougeries in the canton of Geneva, Switzerland.
-
D.
Gymnasium
Gymnasium is a modern open-source toolkit for developing and comparing reinforcement learning algorithms, serving as a successor and refinement to OpenAI Gym.
-
E.
La Maternelle
La Maternelle is a French film in which actor Victor Francen delivered one of his most recognized performances.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstYearNickname Context triple: [CPGE, firstYearNickname, hypokhâgne]
-
A.
childhoodNickname
Indicates that one entity is a nickname that was used to refer to the other entity during their childhood.
-
B.
firstYear
Indicates that an entity is in its first year of existence, operation, or participation within a specified context.
-
C.
nicknameOfYear
chosen
Indicates that a given nickname is used to refer to or characterize a particular year.
-
D.
academyNickname
Indicates that an entity is known by a particular informal or colloquial nickname within an academy or academic institution context.
-
E.
unofficialNickname
Indicates that one entity is informally or colloquially known by a non-official nickname represented by the other entity.
- F. None of above.
Provenance (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0fb7c3c819081fc6f89aa17d6af |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c2c711948190ac614291592a7e03 |
completed | May 3, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c36f28b48190b734a9e5e7ae39b9 |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.