Triple
T22571604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romania national football team |
E558086
|
entity |
| Predicate | europeanChampionshipBestResult |
P45473
|
FINISHED |
| Object | quarter-finals |
—
|
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: quarter-finals | Statement: [Romania national football team, europeanChampionshipBestResult, quarter-finals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: europeanChampionshipBestResult Context triple: [Romania national football team, europeanChampionshipBestResult, quarter-finals]
-
A.
bestEuropeanChampionshipResultYear
Indicates the year in which an entity achieved its best result in the European Championship.
-
B.
EuropeanChampionshipAppearances
Indicates the number of times an entity has participated in a European Championship tournament.
-
C.
WorldChampionshipBestResult
Indicates the best performance or highest placement an entity has ever achieved in a world championship competition.
-
D.
euroBestResult
chosen
Indicates the best performance or highest achievement an entity has attained in a European Championship competition.
-
E.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fae1ed881909430769a0015c39c |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.