Triple
T27409686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolf Wolfshohl |
E692108
|
entity |
| Predicate | generalClassificationWin |
P49276
|
FINISHED |
| Object | Vuelta a España |
—
|
NE NERFINISHED |
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: Vuelta a España | Statement: [Rolf Wolfshohl, generalClassificationWin, Vuelta a España]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generalClassificationWin Context triple: [Rolf Wolfshohl, generalClassificationWin, Vuelta a España]
-
A.
generalClassificationWinner
chosen
Indicates that the subject is the overall winner in the general classification or overall standings of a competition or event.
-
B.
pointsClassificationWinner
Indicates that the subject is the winner of a competition or ranking based on accumulated points classification.
-
C.
usuallyClassifiedAs
Indicates that an entity is most commonly or typically placed into a particular category or type, though other classifications may also exist.
-
D.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
E.
outputClassification
Indicates how a given output is categorized or labeled according to a specified classification scheme.
- 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62cd99324819099a95e2729e966e9 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:31 p.m.