Triple
T27544861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysia national football team |
E695332
|
entity |
| Predicate | affChampionshipRunnersUp |
P163277
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Malaysia national football team, affChampionshipRunnersUp, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affChampionshipRunnersUp Context triple: [Malaysia national football team, affChampionshipRunnersUp, 1996]
-
A.
championshipSeriesRunnerUp
Indicates that an entity finished in second place (as the runner-up) in a specified championship series.
-
B.
EuropeanChampionshipRunnersUp
Indicates that an entity finished in second place (as runners-up) in a European Championship competition.
-
C.
finishedRunnersUpIn
Indicates that one entity concluded a competition or contest in the runners-up position relative to another entity or event.
-
D.
gamesWonByRunnerUp
Indicates the number of games won by the runner-up in a competition or match.
-
E.
pslRunnersUp
Indicates that the subject finished in second place (as a runner-up) in the PSL competition or event specified by the object.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6369a22688190a5674191c90a5d12 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 1:32 p.m.