Triple
T36201678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norway national ice hockey teams |
E1047279
|
entity |
| Predicate | womenWorldChampionshipParticipation |
P17510
|
FINISHED |
| Object | IIHF Women's World Championship |
—
|
NE NERFINISHED |
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: IIHF Women's World Championship | Statement: [Norway national ice hockey teams, womenWorldChampionshipParticipation, IIHF Women's World Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenWorldChampionshipParticipation Context triple: [Norway national ice hockey teams, womenWorldChampionshipParticipation, IIHF Women's World Championship]
-
A.
WorldChampionshipParticipation
chosen
Indicates that an entity has taken part in a world championship event or competition.
-
B.
womenPastChampion
Indicates that the subject has previously won a championship title in a women's competition or event.
-
C.
FIFAWomensWorldCupAppearances
Indicates the number of times an entity has participated in the FIFA Women's World Cup tournament.
-
D.
womenAllAroundChampion
Indicates that women are present surrounding or on all sides of the champion.
-
E.
FIFAWomen'sWorldCupAllTimeTopScorer
Indicates that the subject holds the record for scoring the most goals in the history of the FIFA Women's World Cup.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:08 p.m.