Triple
T13194868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Logano |
E314085
|
entity |
| Predicate | cupSeriesChampion |
P26103
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Joey Logano, cupSeriesChampion, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cupSeriesChampion Context triple: [Joey Logano, cupSeriesChampion, 2018]
-
A.
seasonChampion
chosen
Indicates that an entity is the winner or champion of a particular season of a competition, league, or series.
-
B.
championshipSeries
Indicates a competitive series of contests or games that determines a champion between qualifying participants.
-
C.
finalsChampion
Indicates that an entity is the winner or champion of a particular final match, series, or tournament.
-
D.
worldChampionIn
Indicates that an entity holds or has held the title of world champion in a specified field, discipline, or competition.
-
E.
firstSeasonChampions
Indicates that the subject entity won the championship in the first season of the relevant competition or series.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:16 p.m.