Triple
T37017607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Germany men's national ice hockey team |
E916125
|
entity |
| Predicate | worldChampionshipBestResult |
P45110
|
FINISHED |
| Object | 3rd place |
—
|
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: 3rd place | Statement: [West Germany men's national ice hockey team, worldChampionshipBestResult, 3rd place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionshipBestResult Context triple: [West Germany men's national ice hockey team, worldChampionshipBestResult, 3rd place]
-
A.
WorldChampionshipBestResult
Indicates the best performance or highest placement an entity has ever achieved in a world championship competition.
-
B.
bestWorldChampionshipResult
chosen
Indicates the highest (best) world championship result or placement that an entity has achieved.
-
C.
worldChampionshipBestYear
Indicates the year in which an entity achieved its best or most successful performance in a world championship competition.
-
D.
worldCupOverallBestResult
Indicates the best overall performance or highest finishing position an entity has achieved in any edition of the FIFA World Cup.
-
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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
Created at: May 3, 2026, 4:14 p.m.