Triple
T3033108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany men's national ice hockey team |
E82943
|
entity |
| Predicate | OlympicBronzeMedal |
P6618
|
FINISHED |
| Object | 1932 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: 1932 Winter Olympics | Statement: [Germany men's national ice hockey team, OlympicBronzeMedal, 1932 Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicBronzeMedal Context triple: [Germany men's national ice hockey team, OlympicBronzeMedal, 1932 Winter Olympics]
-
A.
olympicBronzeMedals
chosen
Indicates that the subject has been awarded one or more Olympic bronze medals.
-
B.
olympicBronzeYear
Indicates the year in which an entity received or achieved an Olympic bronze medal.
-
C.
bronzeMedalist
Indicates that an entity finished third in a competition or event, earning the bronze medal.
-
D.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
E.
silverMedalist
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9af13ce48190bda4f5ca0ffe6285 |
completed | March 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.