Triple
T15842849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 Japanese Grand Prix |
E384138
|
entity |
| Predicate | retirementCauseCommon |
P10984
|
FINISHED |
| Object | spins in wet conditions |
—
|
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: spins in wet conditions | Statement: [2007 Japanese Grand Prix, retirementCauseCommon, spins in wet conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retirementCauseCommon Context triple: [2007 Japanese Grand Prix, retirementCauseCommon, spins in wet conditions]
-
A.
causeOfEarlyRetirement
chosen
Indicates that one entity is the reason or contributing factor leading another entity to retire earlier than the typical or expected time.
-
B.
retirementPattern
Indicates the typical way or schedule in which an entity withdraws from active service, work, or use.
-
C.
associatedWithRetirement
Indicates a relationship in which something is connected to, involved in, or relevant to the state, process, or context of retirement.
-
D.
retired
Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
-
E.
roleAfterRetirement
Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
- 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_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. |
Created at: April 10, 2026, 4:50 a.m.