Triple
T13503043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nico Rosberg |
E320939
|
entity |
| Predicate | isSecondGenerationWorldChampion |
P110000
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nico Rosberg, isSecondGenerationWorldChampion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondGenerationWorldChampion Context triple: [Nico Rosberg, isSecondGenerationWorldChampion, true]
-
A.
secondEditionChampion
Indicates that an entity is the champion or winner of the second edition or iteration of a particular event, competition, or series.
-
B.
isSecondWorldHeavyweightTitleReignFor
Indicates that the referenced heavyweight title reign is the second such reign in the career of the specified person or entity.
-
C.
secondSeasonChampion
Indicates that the subject is the champion or winner of the second season of a competition, series, or event in relation to the object.
-
D.
worldChampionPredecessor
Indicates that one entity was the immediate previous world champion before another entity.
-
E.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
- F. None of above. chosen
Provenance (4 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf50f4a48190a44fc537b78c32fd |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaee128d88190b097be17fdd2f92b |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:43 p.m.