Triple
T9076409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshal of the Royal Canadian Air Force |
E217494
|
entity |
| Predicate | isOperationalRank |
P87071
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Marshal of the Royal Canadian Air Force, isOperationalRank, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOperationalRank Context triple: [Marshal of the Royal Canadian Air Force, isOperationalRank, false]
-
A.
isRank
Indicates that one entity serves as the rank, level, or hierarchical position associated with another entity.
-
B.
isRanked
Indicates that an entity has been assigned a position or level within an ordered hierarchy or comparative list.
-
C.
isEntryLevelRankFor
Indicates that a rank represents the lowest or starting level within a particular role, position, or hierarchy.
-
D.
isOperatedIn
Indicates that an entity carries out its operations or activities within a specified location, region, or jurisdiction.
-
E.
hasRankCategory
Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
- F. None of above. chosen
Provenance (4 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c6a67c81908d143aa25e1e803e |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:12 p.m.