Triple
T18127793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Challenge Roth triathlon |
E433925
|
entity |
| Predicate | bikeDistance |
P48263
|
FINISHED |
| Object | 180 km |
—
|
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: 180 km | Statement: [Challenge Roth triathlon, bikeDistance, 180 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bikeDistance Context triple: [Challenge Roth triathlon, bikeDistance, 180 km]
-
A.
hasCyclingDistance
chosen
Indicates that there is a specified distance associated with traveling between entities by cycling.
-
B.
bikeType
Indicates the specific kind or category of bicycle associated with an entity.
-
C.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
D.
trailDistanceApprox
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
-
E.
trackLengthApproxKm
Indicates that one entity has an approximate track length, measured in kilometers, associated with it.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddef4cd88190b16ef0d6ed3968c6 |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.