Triple
T23305011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czech Republic women's national ice hockey team |
E590411
|
entity |
| Predicate | worldChampionshipTopDivisionDebut |
P151797
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Czech Republic women's national ice hockey team, worldChampionshipTopDivisionDebut, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionshipTopDivisionDebut Context triple: [Czech Republic women's national ice hockey team, worldChampionshipTopDivisionDebut, 2013]
-
A.
worldChampionshipDebut
Indicates the event or occasion on which an entity first appeared or participated in a world championship.
-
B.
WorldChampionshipBestResult
Indicates the best performance or highest placement an entity has ever achieved in a world championship competition.
-
C.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
D.
featuredWorldChampion
Indicates that an entity has been highlighted or showcased specifically in its capacity as a world champion.
-
E.
WorldChampionshipParticipation
Indicates that an entity has taken part in a world championship event or competition.
- F. None of above. chosen
Provenance (4 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19725b248819089e61efb82e3440f |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:04 p.m.