Triple
T36254828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic Athletes from Russia |
E891903
|
entity |
| Predicate | medalsCountedFor |
P185067
|
FINISHED |
| Object | not counted under Russia in official medal table |
—
|
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: not counted under Russia in official medal table | Statement: [Olympic Athletes from Russia, medalsCountedFor, not counted under Russia in official medal table]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalsCountedFor Context triple: [Olympic Athletes from Russia, medalsCountedFor, not counted under Russia in official medal table]
-
A.
medalsCountedIn
Indicates that a specific number of medals is included within the official tally or accounting for a particular event, category, or entity.
-
B.
totalOlympicMedals
Indicates the total number of Olympic medals an entity has earned across all Games and events.
-
C.
hasMedalCount
Indicates the relationship between an entity and the number of medals it possesses or has been awarded.
-
D.
numberOfMedalEvents
Indicates the total count of distinct medal-awarding events associated with a given context (such as a sport, competition, or edition of games).
-
E.
medalsAttributedTo
Indicates that certain medals or awards are formally assigned or credited to a particular entity (such as a person, team, or organization).
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.