Triple
T30963712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nursing sisters of the Canadian Army Medical Corps |
E788893
|
entity |
| Predicate | hadRankStatus |
P34755
|
FINISHED |
| Object | officer-equivalent status |
—
|
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-equivalent status | Statement: [nursing sisters of the Canadian Army Medical Corps, hadRankStatus, officer-equivalent status]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadRankStatus Context triple: [nursing sisters of the Canadian Army Medical Corps, hadRankStatus, officer-equivalent status]
-
A.
hadRankSystem
Indicates that an entity used or was governed by a particular ranking or rank classification system.
-
B.
rankStatus
chosen
Indicates the hierarchical level or position an entity holds within an ordered ranking or status system.
-
C.
hadOfficialStatus
Indicates that an entity possessed a formally recognized or legally sanctioned status within an official system or authority.
-
D.
hasRankCategory
Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
-
E.
hasRanks
Indicates that one entity possesses, is assigned, or is associated with one or more rank levels or hierarchical positions.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:54 p.m.