Triple
T10585112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pekka Rinne |
E249834
|
entity |
| Predicate | worldChampionshipSilverYear |
P94775
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Pekka Rinne, worldChampionshipSilverYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionshipSilverYear Context triple: [Pekka Rinne, worldChampionshipSilverYear, 2014]
-
A.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals at a world championship competition.
-
B.
OlympicSilverMedalYear
Indicates the year in which an entity received a silver medal at the Olympic Games.
-
C.
EuropeanChampionshipSilverMedals
Indicates that the subject has won a silver medal in a European Championship competition.
-
D.
WorldChampionshipGoldMedalYear
Indicates the specific year in which an entity won a gold medal at a world championship event.
-
E.
OlympicSilverInEvent
Indicates that an entity won a silver medal in a specified Olympic event.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52768da9c8190add1db88bf2e16ea |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:39 p.m.