Triple
T763220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand maître de la Légion d'honneur |
E16115
|
entity |
| Predicate | assure |
P2194
|
FINISHED |
| Object | respect des statuts de la Légion d'honneur |
—
|
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: respect des statuts de la Légion d'honneur | Statement: [Grand maître de la Légion d'honneur, assure, respect des statuts de la Légion d'honneur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assure Context triple: [Grand maître de la Légion d'honneur, assure, respect des statuts de la Légion d'honneur]
-
A.
ensures
chosen
Indicates that one entity guarantees or makes certain that a particular condition, outcome, or state holds for another entity or situation.
-
B.
affirms
Indicates that one entity explicitly confirms, supports, or asserts the truth or validity of another entity, statement, or proposition.
-
C.
assumes
Indicates that one entity takes on, accepts, or presumes a role, responsibility, state, or fact regarding another entity or situation.
-
D.
advises
Indicates that one entity provides guidance, recommendations, or counsel to another entity.
-
E.
ally
Indicates a cooperative relationship in which one entity supports, assists, or aligns with another, often for mutual benefit or a shared goal.
- 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.