Triple
T19971355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavlos Kontides |
E480082
|
entity |
| Predicate | wonMedalFor |
P44482
|
FINISHED |
| Object | Cyprus at the Summer 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: Cyprus at the Summer Olympics | Statement: [Pavlos Kontides, wonMedalFor, Cyprus at the Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonMedalFor Context triple: [Pavlos Kontides, wonMedalFor, Cyprus at the Summer Olympics]
-
A.
wonMedalAt
chosen
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
B.
medalAwardedToWinner
Indicates that a medal is given to the entity that has won a competition or contest.
-
C.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
D.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
E.
hasWonOlympicMedals
Indicates that the subject has earned one or more medals in Olympic Games competitions.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc9694881909a31841702ab9e5f |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.