Triple
T15842852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 Japanese Grand Prix |
E384138
|
entity |
| Predicate | gapToSecondInChampionshipAfterRace |
P120088
|
FINISHED |
| Object | 12 points |
—
|
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: 12 points | Statement: [2007 Japanese Grand Prix, gapToSecondInChampionshipAfterRace, 12 points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gapToSecondInChampionshipAfterRace Context triple: [2007 Japanese Grand Prix, gapToSecondInChampionshipAfterRace, 12 points]
-
A.
timingOfRace
Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
-
B.
racingPeriod
Indicates the time span during which a racing event or competition takes place.
-
C.
secondPlaceTime
Indicates the time at which an entity achieved second place in a ranked event or competition.
-
D.
safetyCarPeriods
Indicates periods during an event when a safety car is deployed, affecting normal progression or conditions.
-
E.
finalAfterExtraTime
Indicates that the final outcome or result is determined after an additional period of extra time beyond the regular duration.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e88ff08190a1035269e8fdaa6a |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005434ed88190baf11c169da3cf29 |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e007869ae481909473ee220a7ccdb5 |
completed | April 15, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:50 a.m.