Triple
T23407866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biathlon at the 2018 Winter Olympics |
E559983
|
entity |
| Predicate | mainSkiTechnique |
P89882
|
FINISHED |
| Object | skating technique |
—
|
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: skating technique | Statement: [Biathlon at the 2018 Winter Olympics, mainSkiTechnique, skating technique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSkiTechnique Context triple: [Biathlon at the 2018 Winter Olympics, mainSkiTechnique, skating technique]
-
A.
typeOfSkiing
chosen
Indicates that one entity is a specific style, category, or kind of skiing in relation to another.
-
B.
hasSlopeCarving
Indicates that an entity possesses or exhibits the ability or feature of carving turns on a slope.
-
C.
typeOfSkier
Indicates the specific category or style of skier that an entity belongs to (e.g., beginner, expert, freestyle).
-
D.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
E.
isSkiDestination
Indicates that a place serves as a location suitable or commonly used for skiing activities.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a50f3f90819084fb682597fee1e1 |
completed | April 29, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:38 p.m.