Triple
T13476661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supercars Championship season |
E318267
|
entity |
| Predicate | includesQualifying |
P99833
|
FINISHED |
| Object | qualifying sessions |
—
|
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: qualifying sessions | Statement: [Supercars Championship season, includesQualifying, qualifying sessions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesQualifying Context triple: [Supercars Championship season, includesQualifying, qualifying sessions]
-
A.
qualifyingFor
Indicates that one entity meets the necessary conditions or criteria to be eligible for another entity, status, or action.
-
B.
qualifyingFeaturesInclude
chosen
Indicates that certain qualifying features are part of, or included within, a specified set of features associated with an entity or condition.
-
C.
currentQualificationIncludes
Indicates that an entity’s present qualification set contains or encompasses a specified qualification or component.
-
D.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
E.
providedQualificationFor
Indicates that one entity supplied or granted a qualification, credential, or certification that another entity possesses or uses.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2551b48190a074fd256791742d |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.