Triple
T17918065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingham Run |
E447986
|
entity |
| Predicate | hasDistanceType |
P27047
|
FINISHED |
| Object | short to middle distance |
—
|
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: short to middle distance | Statement: [Kingham Run, hasDistanceType, short to middle distance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistanceType Context triple: [Kingham Run, hasDistanceType, short to middle distance]
-
A.
hasDistanceCategory
Indicates that one entity is associated with a qualitative or categorical classification of its distance relative to another entity or reference point.
-
B.
distanceMeasurementMethod
Indicates the method or technique used to determine or measure the distance between entities.
-
C.
raceDistanceType
chosen
Indicates the specific type or category of distance over which a race is conducted.
-
D.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
E.
distanceProvidedBy
Indicates that a specific distance value is supplied or made available by a particular source or provider.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30778fc81908b5b2e308fb158a5 |
completed | April 19, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:20 a.m.