Triple
T29906506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan vs Greece (2014 FIFA World Cup) |
E759549
|
entity |
| Predicate | teamFromUEFA |
P45472
|
FINISHED |
| Object | Greece national football team |
—
|
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: Greece national football team | Statement: [Japan vs Greece (2014 FIFA World Cup), teamFromUEFA, Greece national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamFromUEFA Context triple: [Japan vs Greece (2014 FIFA World Cup), teamFromUEFA, Greece national football team]
-
A.
uefaCode
Indicates the official UEFA-assigned code that identifies a football association, club, or national team within UEFA competitions and records.
-
B.
uefaAffiliation
chosen
Indicates that an entity is officially affiliated with, recognized by, or a member of UEFA (the Union of European Football Associations).
-
C.
associationFootballTeamOf
Indicates that one entity is the association football (soccer) team to which the other entity belongs or is affiliated.
-
D.
nflEuropeTeam
Indicates that an entity is or was a team participating in the NFL Europe league.
-
E.
team2FIFAcode
Indicates the FIFA country code assigned to the second team involved in a match or comparison.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67756337881908627f7068dc02d9f |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:08 p.m.