Triple
T36075371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brawn GP |
E1043481
|
entity |
| Predicate | lastWin |
P60796
|
FINISHED |
| Object | 2009 Italian 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: 2009 Italian Grand Prix | Statement: [Brawn GP, lastWin, 2009 Italian Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastWin Context triple: [Brawn GP, lastWin, 2009 Italian Grand Prix]
-
A.
lastWinner
chosen
Indicates that one entity is the most recent winner in a sequence of competitions, contests, or events involving the other entity.
-
B.
lastSession
Indicates that one session is the final or most recent session associated with a given entity or sequence of sessions.
-
C.
lastUnit
Indicates that one entity is the final or most recent unit in a sequence, series, or collection relative to another entity.
-
D.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
E.
lastMP
Indicates that one entity is the most recent Member of Parliament (MP) associated with, representing, or holding office for the other entity.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.