Triple
T23399234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denmark women's national football team |
E559452
|
entity |
| Predicate | bestUEFAWomensChampionshipResult |
P71870
|
FINISHED |
| Object | runners-up 2017 |
—
|
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: runners-up 2017 | Statement: [Denmark women's national football team, bestUEFAWomensChampionshipResult, runners-up 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestUEFAWomensChampionshipResult Context triple: [Denmark women's national football team, bestUEFAWomensChampionshipResult, runners-up 2017]
-
A.
bestUefaWomen’sChampionshipResult
chosen
Indicates the highest level of success an entity has achieved in the UEFA Women's Championship competition.
-
B.
FIFAWomen'sWorldCupAllTimeTopScorer
Indicates that the subject holds the record for scoring the most goals in the history of the FIFA Women's World Cup.
-
C.
UEFASuperCupTitles
Indicates the number of UEFA Super Cup titles an entity has won.
-
D.
bestConfederationsCupResult
Indicates the highest achievement or best performance an entity has attained in the FIFA Confederations Cup competition.
-
E.
leagueCupResult
Indicates the outcome or standing a team or participant achieved in a specific league cup 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4ddcb9481909881c77458c59c83 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.