Triple
T17321728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 United States Grand Prix |
E420576
|
entity |
| Predicate | firstRaceAtCircuit |
P126981
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2012 United States Grand Prix, firstRaceAtCircuit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRaceAtCircuit Context triple: [2012 United States Grand Prix, firstRaceAtCircuit, true]
-
A.
racingDebut
Indicates the event or moment when an entity first participates in an official race or competitive racing activity.
-
B.
firstF1RaceInRegion
Indicates that a given Formula 1 race is the first F1 race ever held within a specified geographic region.
-
C.
grandPrixDebutYear
Indicates the year in which an entity first participated in a Grand Prix event.
-
D.
firstIndyCarSeriesRace
Indicates the event that was a subject's first race participation in the IndyCar Series.
-
E.
firstRecordedRaces
Indicates that the subject entity is associated with the earliest documented races or racing events in which it participated or was involved.
- 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_69e439cf5394819089bff5f8dc2e8241 |
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.