Triple
T38507975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | giant slalom at the 2013 FIS Alpine World Ski Championships |
E921817
|
entity |
| Predicate | hasMedalEvent |
P201067
|
FINISHED |
| Object | gold medal |
—
|
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: gold medal | Statement: [giant slalom at the 2013 FIS Alpine World Ski Championships, hasMedalEvent, gold medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMedalEvent Context triple: [giant slalom at the 2013 FIS Alpine World Ski Championships, hasMedalEvent, gold medal]
-
A.
hasMedalEvents
Indicates that an entity has associated events in which medals are or can be awarded.
-
B.
hasMedalEquivalent
Indicates that one medal is considered equivalent in value, status, or recognition to another medal.
-
C.
hasMedalComponent
Indicates that something includes or is composed of a particular medal or medal-related part as one of its components.
-
D.
hasMedalCount
Indicates the relationship between an entity and the number of medals it possesses or has been awarded.
-
E.
wonMedalAt
Indicates that an entity received a medal as a result of participating in a specific event or competition.
- 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_69f76ea3c5448190aa7002fc1ba3f874 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffc516d1908190b475f5a6156b0ca8 |
completed | May 9, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69ffc4a946e08190b3535a5dc15ac484 |
completed | May 9, 2026, 11:35 p.m. |
| PDg | Predicate description generation | batch_69ffc515e4b08190810b2a29b2885162 |
completed | May 9, 2026, 11:36 p.m. |
Created at: May 3, 2026, 4:32 p.m.