Triple
T15842850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 Japanese Grand Prix |
E384138
|
entity |
| Predicate | championshipContext |
P120086
|
FINISHED |
| Object | crucial race in 2007 drivers’ title fight |
—
|
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: crucial race in 2007 drivers’ title fight | Statement: [2007 Japanese Grand Prix, championshipContext, crucial race in 2007 drivers’ title fight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipContext Context triple: [2007 Japanese Grand Prix, championshipContext, crucial race in 2007 drivers’ title fight]
-
A.
championshipFor
Indicates that a championship event or title is held, awarded, or designated for a particular competition, season, or category.
-
B.
championshipName
Indicates the name or title assigned to a specific championship event or competition.
-
C.
championshipLevel
Indicates the competitive tier or division in which a championship or title contest is held.
-
D.
championshipRecognition
Indicates formal acknowledgment that an entity has won or holds a championship title in a given competition or domain.
-
E.
championshipStatus
Indicates the competitive or title-holding state of an entity within a championship or league context.
- 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.