Triple
T7117946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1980 VFL premiership |
E165866
|
entity |
| Predicate | grandFinalWinningMargin |
P39190
|
FINISHED |
| Object | 81 points |
—
|
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: 81 points | Statement: [1980 VFL premiership, grandFinalWinningMargin, 81 points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandFinalWinningMargin Context triple: [1980 VFL premiership, grandFinalWinningMargin, 81 points]
-
A.
finalRoundMargin
chosen
Indicates the point or score difference between competitors in the final round of a contest or competition.
-
B.
averageMarginOfVictory
Indicates the typical point or score difference by which one competitor or team wins over opponents across a set of contests or games.
-
C.
finalScoreWinner
Indicates that the referenced entity is the winner as determined by the final score of a game, match, or competition.
-
D.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
E.
opponentFinalScore
Indicates the final score achieved by an opposing participant or team in a contest or game.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e618bdac8190be291468b7d977bb |
completed | March 27, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.