Triple
T5291349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norway national football team |
E119747
|
entity |
| Predicate | europeanChampionshipAppearances |
P18049
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Norway national football team, europeanChampionshipAppearances, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: europeanChampionshipAppearances Context triple: [Norway national football team, europeanChampionshipAppearances, 1]
-
A.
EuropeanChampionshipAppearances
chosen
Indicates the number of times an entity has participated in a European Championship tournament.
-
B.
EuropeanChampionshipTitles
Indicates the number of European Championship titles an entity has won.
-
C.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
-
D.
worldCupAppearances
Indicates the number of times an entity has participated in a FIFA World Cup tournament.
-
E.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world 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_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.