Triple
T763226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand maître de la Légion d'honneur |
E16115
|
entity |
| Predicate | niveauDeCompétence |
P4144
|
FINISHED |
| Object | national |
—
|
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: national | Statement: [Grand maître de la Légion d'honneur, niveauDeCompétence, national]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: niveauDeCompétence Context triple: [Grand maître de la Légion d'honneur, niveauDeCompétence, national]
-
A.
trainingLevel
chosen
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
competence
Indicates that an entity has the ability, skill, or qualification to perform a task or fulfill a role effectively.
-
C.
achievementLevel
Indicates the degree or extent to which an entity has attained a particular goal, standard, or performance outcome.
-
D.
hasCompetence
Indicates that an entity possesses the ability, skill, or qualification to perform a specific task or function effectively.
-
E.
developmentLevel
Indicates the degree or stage of progress, advancement, or maturity that something has reached in its growth or evolution.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a69c8c448190a036a04fd8fdd2c2 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a506106081909ef97a679ff00a5a |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.