Triple
T37401061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1959 United States Grand Prix |
E928995
|
entity |
| Predicate | championshipEra |
P22371
|
FINISHED |
| Object | 1.5-litre Formula One |
—
|
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: 1.5-litre Formula One | Statement: [1959 United States Grand Prix, championshipEra, 1.5-litre Formula One]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipEra Context triple: [1959 United States Grand Prix, championshipEra, 1.5-litre Formula One]
-
A.
franchiseEra
Indicates the specific historical or operational period within which a franchise’s activities, rights, or identity are defined.
-
B.
notableLeagueEra
Indicates that the subject is significantly associated with, or best known for participating in, a particular era or period of a sports league.
-
C.
competitionEra
chosen
Indicates the historical or contextual period during which a particular competition or competitive event took place.
-
D.
sponsorshipEra
Indicates the time period during which a sponsorship relationship is in effect between parties.
-
E.
championshipDominatedBy
Indicates that a particular championship is overwhelmingly controlled or won by a specific entity (such as a team, player, or organization) over a period of time.
- 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 3, 2026, 4:16 p.m.