Triple
T35780964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Armed Forces officers |
E1034434
|
entity |
| Predicate | selectionPathIncludes |
P130536
|
FINISHED |
| Object | Royal Military College of Canada |
—
|
NE NERFINISHED |
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: Royal Military College of Canada | Statement: [Canadian Armed Forces officers, selectionPathIncludes, Royal Military College of Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionPathIncludes Context triple: [Canadian Armed Forces officers, selectionPathIncludes, Royal Military College of Canada]
-
A.
selectionIncludes
Indicates that a chosen set or subset explicitly contains or covers the specified element(s) as part of the selection.
-
B.
isSelectedThrough
chosen
Indicates that an entity is chosen or determined by means of a specific process, method, or intermediary.
-
C.
includesMatch
Indicates that one entity contains or encompasses a particular match or matching instance of another entity.
-
D.
positionIncluded
Indicates that one position or spatial region is entirely contained within another position or spatial region.
-
E.
includesRight
Indicates that one entity contains, encompasses, or grants a particular right to another entity.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.