Triple
T19955428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czech Olympic team |
E479668
|
entity |
| Predicate | medalsWon |
P51907
|
FINISHED |
| Object | multiple Olympic gold medals |
—
|
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: multiple Olympic gold medals | Statement: [Czech Olympic team, medalsWon, multiple Olympic gold medals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalsWon Context triple: [Czech Olympic team, medalsWon, multiple Olympic gold medals]
-
A.
wonMedalAt
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
B.
medalsAttributedTo
Indicates that certain medals or awards are formally assigned or credited to a particular entity (such as a person, team, or organization).
-
C.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
D.
totalOlympicMedals
Indicates the total number of Olympic medals an entity has earned across all Games and events.
-
E.
hasMedalCount
chosen
Indicates the relationship between an entity and the number of medals it possesses or has been awarded.
- 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_69e65aefd9488190b8cdfa8543db8d31 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.