Triple
T35795498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Malaysian Grand Prix |
E1034818
|
entity |
| Predicate | winnerStartingPosition |
P148014
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [2016 Malaysian Grand Prix, winnerStartingPosition, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerStartingPosition Context triple: [2016 Malaysian Grand Prix, winnerStartingPosition, 4]
-
A.
startingPositionOfWinner
chosen
Indicates the initial position or placement from which the eventual winner began.
-
B.
positionOfWinner
Indicates the relationship that identifies which entity holds the winning position or rank in a competition or contest.
-
C.
initialPosition
Indicates the original or starting location of an entity before any movement or change in position occurs.
-
D.
initiatingPosition
Indicates the starting location or initial spatial position from which an action, process, or movement begins.
-
E.
termStartOfWinner
Indicates the starting date or point in time of the winner’s term in a given role or position.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:06 p.m.