Triple
T14060011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clas Thunberg |
E338317
|
entity |
| Predicate | EuropeanAllroundTitles |
P112664
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Clas Thunberg, EuropeanAllroundTitles, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EuropeanAllroundTitles Context triple: [Clas Thunberg, EuropeanAllroundTitles, 4]
-
A.
WorldAllroundChampion
Indicates that an entity holds the title of world all-round champion, having achieved the best overall performance across multiple disciplines or events at the global level.
-
B.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
-
C.
EuropeanChampionshipSilverMedals
Indicates that the subject has won a silver medal in a European Championship competition.
-
D.
worldMedalist
Indicates that an entity has won a medal at a recognized world-level championship or world competition.
-
E.
WorldChampionshipMedalsTotal
Indicates the total number of medals an entity has won at world championship competitions.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5686f51c81908c33143ecbaae83d |
completed | April 14, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.