Triple
T18671422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet Union at the Olympics |
E456484
|
entity |
| Predicate | winterTotalMedals |
P132230
|
FINISHED |
| Object | 251 |
—
|
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: 251 | Statement: [Soviet Union at the Olympics, winterTotalMedals, 251]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winterTotalMedals Context triple: [Soviet Union at the Olympics, winterTotalMedals, 251]
-
A.
previousWinterOlympics
Indicates that one Winter Olympic Games event directly preceded another in chronological order.
-
B.
totalOlympicMedals
Indicates the total number of Olympic medals an entity has earned across all Games and events.
-
C.
nextWinterGames
Indicates that one event or location is the immediately upcoming edition of the Winter Games relative to a given reference point (such as a year, city, or Olympic cycle).
-
D.
mostTotalMedalsBy
Indicates that one entity holds the highest total number of medals in comparison to another entity or group.
-
E.
previousWinterGamesYear
Indicates the year in which the immediately preceding Winter Olympic Games took place relative to a given edition.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b21d2481908e1b8b583bfabb72 |
completed | April 19, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:48 a.m.