Triple
T29876349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pascal Lavanchy |
E758742
|
entity |
| Predicate | hasMedalsIn |
P89884
|
FINISHED |
| Object | international ice dancing competitions |
—
|
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: international ice dancing competitions | Statement: [Pascal Lavanchy, hasMedalsIn, international ice dancing competitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMedalsIn Context triple: [Pascal Lavanchy, hasMedalsIn, international ice dancing competitions]
-
A.
hasMedalCount
Indicates the relationship between an entity and the number of medals it possesses or has been awarded.
-
B.
hasMedalComponent
Indicates that something includes or is composed of a particular medal or medal-related part as one of its components.
-
C.
hasMedalEquivalent
Indicates that one medal is considered equivalent in value, status, or recognition to another medal.
-
D.
hasMedalEvents
chosen
Indicates that an entity has associated events in which medals are or can be awarded.
-
E.
hasMedalForm
Indicates that one entity is associated with a particular form, type, or version of a medal.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 29, 2026, 5:56 p.m.