Triple
T37017606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Germany men's national ice hockey team |
E916125
|
entity |
| Predicate | olympicBronze |
P172823
|
FINISHED |
| Object | 1984 Winter Olympics |
—
|
NE NERFINISHED |
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: 1984 Winter Olympics | Statement: [West Germany men's national ice hockey team, olympicBronze, 1984 Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicBronze Context triple: [West Germany men's national ice hockey team, olympicBronze, 1984 Winter Olympics]
-
A.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
-
B.
olympicBronzeEvent
chosen
Indicates that an entity won a bronze medal in a specified Olympic event.
-
C.
olympicBronzeYear
Indicates the year in which an entity received or achieved an Olympic bronze medal.
-
D.
totalOlympicBronzeMedals
Indicates the total number of Olympic bronze medals that an entity has earned or been awarded.
-
E.
bronzeMedalist
Indicates that an entity finished third in a competition or event, earning the bronze 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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.