Triple
T19077126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aboriginal Healing Foundation |
E466932
|
entity |
| Predicate | numberOfProjectsFunded |
P134253
|
FINISHED |
| Object | over 1,300 projects |
—
|
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 1,300 projects | Statement: [Aboriginal Healing Foundation, numberOfProjectsFunded, over 1,300 projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfProjectsFunded Context triple: [Aboriginal Healing Foundation, numberOfProjectsFunded, over 1,300 projects]
-
A.
numberOfMajorProjects
Indicates the count of significant or primary projects associated with an entity.
-
B.
publiclyFunded
Indicates that the entity receives financial support from public sources such as government budgets or taxpayer funds.
-
C.
foundedProject
Indicates that an entity initiated and established a particular project.
-
D.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
E.
funderOf
Indicates that one entity provides financial support or funding for another entity, project, or activity.
- F. None of above. chosen
Provenance (4 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e5591081908a4f8e4b2011b408 |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.