Triple
T11467828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4×100 metre freestyle relay |
E271822
|
entity |
| Predicate | distancePerSwimmer |
P99440
|
FINISHED |
| Object | 100 metres |
—
|
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: 100 metres | Statement: [4×100 metre freestyle relay, distancePerSwimmer, 100 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distancePerSwimmer Context triple: [4×100 metre freestyle relay, distancePerSwimmer, 100 metres]
-
A.
swimmingType
Indicates the manner or style in which an entity performs the action of swimming.
-
B.
swimmingLevel
Indicates the degree of proficiency or skill an entity has in swimming.
-
C.
canSwim
Indicates that an entity has the ability to move through water by swimming.
-
D.
hourRecordDistance
Indicates that one entity holds or represents the record for the greatest distance covered within a one-hour time period relative to another entity or context.
-
E.
raceDistanceApprox
Indicates that the distance of a race is approximately equal to a specified value, allowing for some margin of error rather than requiring an exact match.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:35 p.m.