Triple
T29750134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French military hierarchy |
E752869
|
entity |
| Predicate | typicalNCOGrade |
P131503
|
FINISHED |
| Object | Adjudant-chef |
—
|
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: Adjudant-chef | Statement: [French military hierarchy, typicalNCOGrade, Adjudant-chef]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNCOGrade Context triple: [French military hierarchy, typicalNCOGrade, Adjudant-chef]
-
A.
hasNCOGrade
chosen
Indicates that an entity holds a non-commissioned officer (NCO) rank or grade within a military or similar hierarchical organization.
-
B.
typicalGradeLevel
Indicates the usual or most common educational grade level at which something (such as a concept, resource, or skill) is intended to be taught or is typically encountered.
-
C.
typicalTimeInGrade
Indicates the usual or expected duration an individual spends at a particular grade, rank, or level before advancing or changing status.
-
D.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
E.
typicalHighestLevel
Indicates the usual or most common maximum level or degree that something typically reaches within a given context.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a02efcb13248190a0bef09ba7869ada |
completed | May 12, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_6a024995e1d081908783ca294d1397c3 |
completed | May 11, 2026, 9:26 p.m. |
Created at: April 28, 2026, 7:53 p.m.