Triple
T5291351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norway national football team |
E119747
|
entity |
| Predicate | bestEuropeanChampionshipResult |
P45473
|
FINISHED |
| Object | group stage at UEFA Euro 2000 |
—
|
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: group stage at UEFA Euro 2000 | Statement: [Norway national football team, bestEuropeanChampionshipResult, group stage at UEFA Euro 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestEuropeanChampionshipResult Context triple: [Norway national football team, bestEuropeanChampionshipResult, group stage at UEFA Euro 2000]
-
A.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
-
B.
euroBestResult
chosen
Indicates the best performance or highest achievement an entity has attained in a European Championship competition.
-
C.
EuropeanCompetitionWin
Indicates that an entity has won a European-level competition or tournament.
-
D.
EuropeanChampionshipTitles
Indicates the number of European Championship titles an entity has won.
-
E.
EuropeanChampionshipAppearances
Indicates the number of times an entity has participated in a European Championship tournament.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8682d18c8190bbb35cc75c8a7c12 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd844dfdac819086efedd1cbebff84 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.