Triple
T27544860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysia national football team |
E695332
|
entity |
| Predicate | affChampionshipTitles |
P159894
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Malaysia national football team, affChampionshipTitles, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affChampionshipTitles Context triple: [Malaysia national football team, affChampionshipTitles, 2010]
-
A.
affChampionshipTitles
chosen
Indicates that an entity has won or been awarded a specified number of championship titles.
-
B.
affChampionshipTitlesYears
Indicates the specific years in which an entity won or held championship titles.
-
C.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
D.
numberOfChampionTitles
Indicates the total count of championship titles that an entity has won.
-
E.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f83176c81909a508c03229dc69d |
completed | May 2, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:32 p.m.