Triple
T35753199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Grand Prix |
E1033370
|
entity |
| Predicate | safetyChangesInfluencedBy |
P103131
|
FINISHED |
| Object | Niki Lauda accident at Nürburgring 1976 |
—
|
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: Niki Lauda accident at Nürburgring 1976 | Statement: [German Grand Prix, safetyChangesInfluencedBy, Niki Lauda accident at Nürburgring 1976]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyChangesInfluencedBy Context triple: [German Grand Prix, safetyChangesInfluencedBy, Niki Lauda accident at Nürburgring 1976]
-
A.
safetyChangesImplemented
Indicates that specific safety-related modifications or measures have been put into effect.
-
B.
safetyRegulationChange
Indicates a modification, update, or revision to existing safety regulations governing how something must be designed, operated, or managed.
-
C.
safetyRelevant
Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
-
D.
safetyImplication
chosen
Indicates that one entity has a consequence, effect, or relevance for the safety or risk level associated with another entity or situation.
-
E.
safetyRecordChangedAfter
Indicates that an entity’s safety record was modified following a specified event, time, or condition.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:06 p.m.