Triple
T27976186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Forces Military Police Academy |
E706496
|
entity |
| Predicate | locatedAtBase |
P60205
|
FINISHED |
| Object | CFB Borden |
—
|
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: CFB Borden | Statement: [Canadian Forces Military Police Academy, locatedAtBase, CFB Borden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAtBase Context triple: [Canadian Forces Military Police Academy, locatedAtBase, CFB Borden]
-
A.
locatedAtBaseOf
Indicates that one entity is positioned at or near the bottom or lowest supporting part of another entity.
-
B.
locatedUnder
Indicates that one entity is positioned directly or generally beneath another entity in space.
-
C.
locatedWith
Indicates that two or more entities are situated together in the same place or spatial context.
-
D.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
E.
baseLocation
chosen
Indicates the primary place where an entity is based, headquartered, or operates from as its main 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ff370698ec81909bb1596d7d4112ba |
completed | May 9, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69ff3699b6288190b564839cb05f5cf6 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 27, 2026, 7:41 p.m.