Triple
T17119404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’International des Feux Loto-Québec |
E415424
|
entity |
| Predicate | estimatedAttendanceCategory |
P57039
|
FINISHED |
| Object | hundreds of thousands of spectators per season |
—
|
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: hundreds of thousands of spectators per season | Statement: [L’International des Feux Loto-Québec, estimatedAttendanceCategory, hundreds of thousands of spectators per season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedAttendanceCategory Context triple: [L’International des Feux Loto-Québec, estimatedAttendanceCategory, hundreds of thousands of spectators per season]
-
A.
averageAttendanceCategory
chosen
Indicates the attendance range or classification into which an entity’s typical or mean attendance level falls.
-
B.
estimatedCumulativeAttendance
Indicates the total number of attendees expected to have been present over a period of time, aggregated up to a given point.
-
C.
enrollmentCategory
Indicates the classification or type of enrollment under which an entity is registered or participating.
-
D.
laterAttends
Indicates that one entity attends an event or place at a time later than another referenced attendance.
-
E.
hasAttendanceType
Indicates the specific category or mode of attendance associated with an event or participant (e.g., in-person, virtual, hybrid).
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8086a388190a655a044feccab14 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:36 a.m.