Triple
T8438708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Sadd SC |
E199293
|
entity |
| Predicate | hostedFIFAClubWorldCupParticipationYear |
P83365
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Al Sadd SC, hostedFIFAClubWorldCupParticipationYear, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedFIFAClubWorldCupParticipationYear Context triple: [Al Sadd SC, hostedFIFAClubWorldCupParticipationYear, 2011]
-
A.
worldCupAppearanceYear
Indicates the specific year in which an entity participated in a FIFA World Cup tournament.
-
B.
FIFAWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
-
C.
worldCupHostYear
Indicates the year in which a particular country or location served as the host of the FIFA World Cup tournament.
-
D.
fifaU17WorldCupWinningYear
Indicates the specific year in which a given team won the FIFA U-17 World Cup.
-
E.
FIFAU20WorldCupTitleYear
Indicates the year in which an entity won the FIFA U-20 World Cup title.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:08 p.m.