Triple
T13669731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igor Larionov |
E327715
|
entity |
| Predicate | WorldJuniorChampionshipTitle |
P39034
|
FINISHED |
| Object | IIHF World Junior Championship gold medal |
—
|
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: IIHF World Junior Championship gold medal | Statement: [Igor Larionov, WorldJuniorChampionshipTitle, IIHF World Junior Championship gold medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldJuniorChampionshipTitle Context triple: [Igor Larionov, WorldJuniorChampionshipTitle, IIHF World Junior Championship gold medal]
-
A.
WorldJuniorMedal
chosen
Indicates that an entity has won a medal at a World Junior Championship event.
-
B.
wonJuniorWorldSeries
Indicates that one entity achieved victory in the Junior World Series competition or championship.
-
C.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
D.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
E.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6599c248190b7f134b5b9947a23 |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.