Triple
T4994716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Dunlop |
E112216
|
entity |
| Predicate | styleOfRiding |
P15815
|
FINISHED |
| Object | aggressive |
—
|
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: aggressive | Statement: [Michael Dunlop, styleOfRiding, aggressive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleOfRiding Context triple: [Michael Dunlop, styleOfRiding, aggressive]
-
A.
styleOfRacing
Indicates the specific manner or approach in which an entity participates in or performs racing.
-
B.
ridingSpecialty
chosen
Indicates that one entity has a particular area of expertise or focus related to riding (e.g., a specific riding style, discipline, or type).
-
C.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
D.
touringStyle
Indicates the manner or approach in which an entity conducts or experiences a tour (e.g., type, format, or style of touring).
-
E.
ridershipLevel
Indicates the magnitude or intensity of usage by riders or passengers for a given service, route, or system.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.