Triple
T35795448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Australian Grand Prix |
E1034817
|
entity |
| Predicate | notableCrashDriver |
P206050
|
FINISHED |
| Object | Fernando Alonso |
E359150
|
NE 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: Fernando Alonso | Statement: [2016 Australian Grand Prix, notableCrashDriver, Fernando Alonso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCrashDriver Context triple: [2016 Australian Grand Prix, notableCrashDriver, Fernando Alonso]
-
A.
crashResultedIn
Indicates that a crash event caused or led to a particular outcome, consequence, or result.
-
B.
crash
Indicates that one entity collides violently with another entity or surface, often resulting in damage or disruption.
-
C.
crashOccurred
Indicates that a crash event has taken place involving the referenced entities or system.
-
D.
crashHistory
Indicates that an entity has been involved in one or more crash incidents in the past.
-
E.
crashCountry
Indicates that an aviation crash event occurred within the territory or jurisdiction of a specified country.
- F. None of above. chosen
Provenance (5 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a389165fec88190ab74ba0aa4017452 |
completed | June 22, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:06 p.m.