Triple
T25419945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belarus national football team |
E636952
|
entity |
| Predicate | bestEuroQualifyingPerformance |
P45473
|
FINISHED |
| Object | play-off round 2016 |
—
|
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: play-off round 2016 | Statement: [Belarus national football team, bestEuroQualifyingPerformance, play-off round 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestEuroQualifyingPerformance Context triple: [Belarus national football team, bestEuroQualifyingPerformance, play-off round 2016]
-
A.
euroBestResult
chosen
Indicates the best performance or highest achievement an entity has attained in a European Championship competition.
-
B.
hasEuropeanRecord
Indicates that an entity holds or is associated with a record or best performance recognized at the European level.
-
C.
bestDriver
Indicates that the subject is considered the most skilled or highest-performing driver within a specified group or context.
-
D.
europaLeagueBestStage
Indicates the furthest stage a team or participant has reached in the UEFA Europa League competition.
-
E.
firstEuropeanPerformancePlace
Indicates the location where something (such as a work, event, or performance) was first performed in Europe.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bbb1048190bf951255445aeecc |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:56 p.m.