Triple
T8518590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biathlon World Championships |
E201637
|
entity |
| Predicate | shootingPosition |
P17665
|
FINISHED |
| Object | prone |
—
|
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: prone | Statement: [Biathlon World Championships, shootingPosition, prone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shootingPosition Context triple: [Biathlon World Championships, shootingPosition, prone]
-
A.
hasShootingLocation
Indicates that an audiovisual work was filmed or recorded at a particular location.
-
B.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
-
C.
shootingStyle
chosen
Indicates the characteristic manner or technique with which an entity performs a shooting action (e.g., in sports or photography).
-
D.
shotFrom
Indicates that something is propelled or discharged starting at a particular source or origin.
-
E.
allegedShooterLocation
Indicates the place where a person is claimed or reported to have carried out a shooting.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe626787c819087e72dd76b2d9310 |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.