Triple
T7433071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanfrecce Hiroshima |
E171537
|
entity |
| Predicate | bestClubWorldCupFinish |
P76373
|
FINISHED |
| Object | third place at 2015 FIFA Club World Cup |
—
|
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: third place at 2015 FIFA Club World Cup | Statement: [Sanfrecce Hiroshima, bestClubWorldCupFinish, third place at 2015 FIFA Club World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestClubWorldCupFinish Context triple: [Sanfrecce Hiroshima, bestClubWorldCupFinish, third place at 2015 FIFA Club World Cup]
-
A.
FIFAConfederationsCupTitleYear
Indicates the specific year in which an entity won a FIFA Confederations Cup title.
-
B.
worldClubChallengeTitles
Indicates the number of World Club Challenge titles an entity has won.
-
C.
worldCupWon
Indicates that the subject has won the FIFA World Cup tournament.
-
D.
worldClubChallengeTitleYear
Indicates the year in which an entity won a World Club Challenge title.
-
E.
bestConfederationsCupResult
Indicates the highest achievement or best performance an entity has attained in the FIFA Confederations Cup competition.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f325ea908190b668fd4ce646f1e6 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0be2b1c8190bea06100a7caef2b |
completed | March 27, 2026, 9:03 p.m. |
Created at: March 27, 2026, 3:12 p.m.