Triple
T32106800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diefenbunker: Canada’s Cold War Museum |
E820004
|
entity |
| Predicate | heightBelowGround |
P43725
|
FINISHED |
| Object | multi-storey underground structure |
—
|
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: multi-storey underground structure | Statement: [Diefenbunker: Canada’s Cold War Museum, heightBelowGround, multi-storey underground structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightBelowGround Context triple: [Diefenbunker: Canada’s Cold War Museum, heightBelowGround, multi-storey underground structure]
-
A.
elevationBelowGround
Indicates that one entity’s elevation is located beneath the ground surface or reference ground level.
-
B.
heightAboveGround
Indicates the vertical distance of an entity measured from the ground surface directly beneath it.
-
C.
depthBelowSurfaceInMeters
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
-
D.
locatedAboveGround
Indicates that one entity is positioned at a level higher than the ground surface, not buried or below ground.
-
E.
hasUndergroundDepth
chosen
Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b69c10b481909540be1db9b986f5 |
completed | May 3, 2026, 2:44 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:27 a.m.