Triple
T23866874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papineau Monument in Quebec |
E592604
|
entity |
| Predicate | memorializedPersonEthnicity |
P37716
|
FINISHED |
| Object | French-Canadian |
—
|
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: French-Canadian | Statement: [Papineau Monument in Quebec, memorializedPersonEthnicity, French-Canadian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorializedPersonEthnicity Context triple: [Papineau Monument in Quebec, memorializedPersonEthnicity, French-Canadian]
-
A.
commemoratedPersonNationality
Indicates the nationality of the person who is being commemorated.
-
B.
commemoratedPerson
Indicates that the subject serves as a memorial or tribute to the referenced person.
-
C.
notableHistoricalFigureEthnicity
chosen
Indicates that a notable historical figure belongs to, or is identified with, a particular ethnic group.
-
D.
commemoratedPersonOccupation
Indicates the occupation or professional role held by the person who is being commemorated.
-
E.
hasTypeOfPersonCommemorated
Indicates that something is associated with or dedicated to a person of a specified type or role being commemorated.
- 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_69e25d22eb488190914b193aff952e83 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cae47b40819080d1c5294ee59066 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:13 p.m.