Triple
T4761456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truth and Reconciliation Commission of Canada |
E105706
|
entity |
| Predicate | numberOfCallsToAction |
P58385
|
FINISHED |
| Object | 94 |
—
|
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: 94 | Statement: [Truth and Reconciliation Commission of Canada, numberOfCallsToAction, 94]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCallsToAction Context triple: [Truth and Reconciliation Commission of Canada, numberOfCallsToAction, 94]
-
A.
numberOfCampaignsApprox
Indicates an approximate count of campaigns associated with or relevant to a given entity.
-
B.
numberOfEvents
Indicates the quantity or count of events associated with a given entity or context.
-
C.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
D.
numberOfExecutions
Indicates the count of times a particular action, process, or event has been carried out.
-
E.
nowCalled
Indicates that an entity previously known by one name is currently referred to by a different name.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650eefe08190b99f9f01b121dbfd |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6225c9488190afee5bb3619d0365 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:20 p.m.