Triple
T21194234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jure Franko |
E522285
|
entity |
| Predicate | typeOfMedalist |
P143507
|
FINISHED |
| Object | Olympic alpine skiing medalist |
—
|
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: Olympic alpine skiing medalist | Statement: [Jure Franko, typeOfMedalist, Olympic alpine skiing medalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMedalist Context triple: [Jure Franko, typeOfMedalist, Olympic alpine skiing medalist]
-
A.
typeOfMedalEvent
Indicates the specific medal category (e.g., gold, silver, bronze) associated with a particular event.
-
B.
medalType
Indicates the specific category or class of a medal associated with an award or achievement.
-
C.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
D.
goldMedalistNationality
Indicates the nationality of the athlete who won the gold medal in a given event or competition.
-
E.
goldMedalist
Indicates that the subject is the winner of a first-place gold medal in a competition or event.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73339aaa081909d9009c58c386422 |
completed | April 21, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5fa92a2448190896c022dd27511ad |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 16, 2026, 3:08 p.m.