Triple
T23900613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saudi Arabia national under-23 football team |
E601031
|
entity |
| Predicate | finishedRunnersUpIn |
P154011
|
FINISHED |
| Object | 2013 AFC U-22 Championship |
—
|
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: 2013 AFC U-22 Championship | Statement: [Saudi Arabia national under-23 football team, finishedRunnersUpIn, 2013 AFC U-22 Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finishedRunnersUpIn Context triple: [Saudi Arabia national under-23 football team, finishedRunnersUpIn, 2013 AFC U-22 Championship]
-
A.
runnersUpPoints
Indicates the number of points awarded to an entity for finishing as a runner-up in a competition or ranking.
-
B.
worldCupRunnersUpFinishes
Indicates the number of times an entity has finished as the runner-up in the FIFA World Cup.
-
C.
hasNationalRunnerUpFinishes
Indicates that an entity has achieved one or more second-place (runner-up) finishes in a national-level competition or championship.
-
D.
gamesWonByRunnerUp
Indicates the number of games won by the runner-up in a competition or match.
-
E.
ranjiTrophyRunnersUpCount
Indicates the number of times an entity has finished as runners-up in the Ranji Trophy cricket tournament.
- 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdddca088190b6c26df984a143ad |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:26 p.m.