Triple
T17321835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Grand Prix |
E420578
|
entity |
| Predicate | hasSprintRaceInSomeYears |
P126991
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [United States Grand Prix, hasSprintRaceInSomeYears, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSprintRaceInSomeYears Context triple: [United States Grand Prix, hasSprintRaceInSomeYears, yes]
-
A.
hasRaceWeek
Indicates that a particular time period is designated as the week during which a race event takes place.
-
B.
hasRaceSession
Indicates that an entity is associated with, participates in, or is scheduled for a specific race session.
-
C.
racedIn
Indicates that an entity participated as a competitor in a particular race or racing event.
-
D.
partOfRaceCourseSince
Indicates that an entity has been included as a component or segment of a race course starting from a specified point in time.
-
E.
isSprintRelay
Indicates that the event is a relay race run over a short sprint distance, with team members completing sequential legs.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d01e2c8190a358dace420d4575 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.