Triple
T38358759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African Grand Prix |
E1046407
|
entity |
| Predicate | qualifyingDay |
P190461
|
FINISHED |
| Object | Saturday |
—
|
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: Saturday | Statement: [South African Grand Prix, qualifyingDay, Saturday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qualifyingDay Context triple: [South African Grand Prix, qualifyingDay, Saturday]
-
A.
qualifyingFor
Indicates that one entity meets the necessary conditions or criteria to be eligible for another entity, status, or action.
-
B.
attemptedToQualifyFor
Indicates that one entity made an effort or took action to meet the requirements or standards necessary to gain a particular status, role, or qualification associated with another entity.
-
C.
qualifyingEvent
Indicates that an event meets specific conditions or criteria that make an entity eligible for a particular status, action, or outcome.
-
D.
resultedInQualificationFor
Indicates that one event, action, or condition caused or led directly to an entity becoming eligible for a particular qualification, status, or credential.
-
E.
raceDayIncludes
Indicates that a particular race day schedule or event set contains or encompasses a specific race or racing-related activity.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fcc7a42f68819081d6ec8bb6b53438 |
completed | May 7, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:31 p.m.