Triple
T28698491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Rasmussen |
E729479
|
entity |
| Predicate | hasWonClassification |
P171836
|
FINISHED |
| Object | mountains classification in the Vuelta a España |
—
|
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: mountains classification in the Vuelta a España | Statement: [Michael Rasmussen, hasWonClassification, mountains classification in the Vuelta a España]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonClassification Context triple: [Michael Rasmussen, hasWonClassification, mountains classification in the Vuelta a España]
-
A.
didWinCategory
chosen
Indicates that an entity achieved first place or victory in a specified category or classification.
-
B.
isClassicWinner
Indicates that an entity has won a classic or traditionally recognized competition, award, or title.
-
C.
pointsClassificationWinner
Indicates that the subject is the winner of a competition or ranking based on accumulated points classification.
-
D.
hasTeamClassification
Indicates that an entity is assigned a specific team-based category or classification.
-
E.
hasWonCompetition
Indicates that an entity has achieved victory in a competition or contest against others.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 28, 2026, 5:41 a.m.