Triple
T22852476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006–07 Grand Prix Final |
E566388
|
entity |
| Predicate | numberOfQualifiersPerDisciplineSenior |
P82426
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [2006–07 Grand Prix Final, numberOfQualifiersPerDisciplineSenior, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfQualifiersPerDisciplineSenior Context triple: [2006–07 Grand Prix Final, numberOfQualifiersPerDisciplineSenior, 6]
-
A.
numberOfQualifiersPerDiscipline
chosen
Indicates the count of qualifier instances associated with each specific discipline.
-
B.
disciplinesCount
Indicates the number of distinct disciplines associated with or involved in a given entity or context.
-
C.
disciplineCount
Indicates the number of disciplinary actions or incidents associated with an entity.
-
D.
qualificationEndYear
Indicates the calendar year in which a qualification, certification, or course of study was completed or ended.
-
E.
disciplineLevel
Indicates the degree or strictness of control, order, or self-regulation applied in a given context or relationship.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb9a5b8819091cbb4ac42fbf778 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:36 p.m.