Triple
T25340993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senna–Prost collision 1990 practice crash |
E635411
|
entity |
| Predicate | tookPlaceAtEvent |
P158220
|
FINISHED |
| Object | 1990 Australian Grand Prix |
—
|
NE NERFINISHED |
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: 1990 Australian Grand Prix | Statement: [Senna–Prost collision 1990 practice crash, tookPlaceAtEvent, 1990 Australian Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookPlaceAtEvent Context triple: [Senna–Prost collision 1990 practice crash, tookPlaceAtEvent, 1990 Australian Grand Prix]
-
A.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
B.
takesPlace
Indicates that an event or action occurs or is situated at a particular time, place, or context.
-
C.
tookPlaceInAdministrativeEntity
Indicates that an event or occurrence happened within the jurisdiction or boundaries of a specific administrative entity.
-
D.
tookPlaceFrom
Indicates that an event or occurrence started or was ongoing beginning at a specified time or location.
-
E.
isMajorEventOf
Indicates that an event is a primary, significant, or defining occurrence within the context of another entity (such as a project, period, or process).
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f498b6672881909d3257dc6b52caa3 |
completed | May 1, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 21, 2026, 1:32 p.m.