Triple
T38675369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian War Memorials Fund |
E943723
|
entity |
| Predicate | numberOfArtworksProduced |
P6223
|
FINISHED |
| Object | over 800 |
—
|
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: over 800 | Statement: [Canadian War Memorials Fund, numberOfArtworksProduced, over 800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArtworksProduced Context triple: [Canadian War Memorials Fund, numberOfArtworksProduced, over 800]
-
A.
numberOfPaintingsCreated
Indicates the total count of paintings that an entity has created.
-
B.
numberOfWorksCreated
chosen
Indicates the total count of creative works that an entity has produced or authored.
-
C.
hasArtworksFrom
Indicates that one entity possesses or includes artworks that originate from or are created by another entity.
-
D.
hasArtisticWorks
Indicates that an entity possesses, is associated with, or is the creator of one or more artistic works.
-
E.
estimatedNumberOfPaintings
Indicates the approximate count of paintings associated with an entity, rather than an exact, verified number.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:33 p.m.