Triple
T19519396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Jean-Baptiste Day |
E488362
|
entity |
| Predicate | officialStatusInQuebec |
P69031
|
FINISHED |
| Object | national holiday of Quebec |
—
|
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: national holiday of Quebec | Statement: [Saint-Jean-Baptiste Day, officialStatusInQuebec, national holiday of Quebec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialStatusInQuebec Context triple: [Saint-Jean-Baptiste Day, officialStatusInQuebec, national holiday of Quebec]
-
A.
legalStatusCanada
Indicates the legal classification or standing of an entity under Canadian law.
-
B.
statusInFrance
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
-
C.
officialStatusInTerritory
chosen
Indicates that an entity holds a recognized official status, role, or designation within a specified territory or jurisdiction.
-
D.
populationRankInQuebec
Indicates the relative position of an entity in terms of population size compared to other entities within Quebec.
-
E.
legalStatusInCanadaAtTheTime
Indicates the legal status or classification an entity held in Canada at the specific time a related event or situation occurred.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359edd508190afd68739de676ed7 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7d0da88190aabf8b5799691fb1 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.