Triple
T28768736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcel Hirscher |
E726348
|
entity |
| Predicate | wonOlympicSilverIn |
P88111
|
FINISHED |
| Object | men's slalom at the 2014 Winter Olympics |
—
|
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: men's slalom at the 2014 Winter Olympics | Statement: [Marcel Hirscher, wonOlympicSilverIn, men's slalom at the 2014 Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonOlympicSilverIn Context triple: [Marcel Hirscher, wonOlympicSilverIn, men's slalom at the 2014 Winter Olympics]
-
A.
OlympicSilverInEvent
chosen
Indicates that an entity won a silver medal in a specified Olympic event.
-
B.
OlympicSilverMedalYear
Indicates the year in which an entity received a silver medal at the Olympic Games.
-
C.
wonWorldCupSilverMedal
Indicates that an entity achieved second place and received a silver medal in a World Cup competition.
-
D.
olympicSilverMedals
Indicates that the subject has won one or more silver medals at the Olympic Games.
-
E.
commonwealthGamesSilver
Indicates that an entity won a silver medal at the Commonwealth Games.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:14 a.m.