Triple
T12872343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École des officiers de la gendarmerie nationale |
E307880
|
entity |
| Predicate | commissionedRankOutcome |
P44633
|
FINISHED |
| Object | officer |
—
|
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: officer | Statement: [École des officiers de la gendarmerie nationale, commissionedRankOutcome, officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commissionedRankOutcome Context triple: [École des officiers de la gendarmerie nationale, commissionedRankOutcome, officer]
-
A.
commissionedOfficerRank
chosen
Indicates that one entity holds a rank that qualifies them as a commissioned officer in a formal organizational hierarchy.
-
B.
civilServiceRank
Indicates that one entity holds a specific rank or position within a civil service hierarchy relative to another entity or classification.
-
C.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
D.
honoraryRankGrantedBy
Indicates that an entity has been awarded an honorary rank or title by another entity or authority.
-
E.
commissionedIn
Indicates that an entity was formally requested or authorized to be created, produced, or carried out in a specific time period or location.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:38 p.m.