Triple
T35758167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosworth DFV engine |
E1033501
|
entity |
| Predicate | firstUseInSeason |
P115402
|
FINISHED |
| Object | 1967 Formula One season |
—
|
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: 1967 Formula One season | Statement: [Cosworth DFV engine, firstUseInSeason, 1967 Formula One season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUseInSeason Context triple: [Cosworth DFV engine, firstUseInSeason, 1967 Formula One season]
-
A.
firstUsedInSeason
chosen
Indicates the season in which something (such as a character, item, or concept) was first introduced or used.
-
B.
firstUsedInGame
Indicates the game in which something (such as an item, mechanic, or concept) was first introduced or appeared.
-
C.
firstAiredInSeason
Indicates the specific season of a series in which an episode or content item was originally first broadcast or released.
-
D.
firstEditionSeason
Indicates the season or time period during which something (such as a work or product) was first published, released, or issued in its original edition.
-
E.
firstUsedInEvent
Indicates that something (such as an object, method, or concept) was used for the first time during a specified event.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.