Triple
T15406902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werner Voss |
E368482
|
entity |
| Predicate | creditedVictories |
P8292
|
FINISHED |
| Object | 48 aerial victories |
—
|
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: 48 aerial victories | Statement: [Werner Voss, creditedVictories, 48 aerial victories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creditedVictories Context triple: [Werner Voss, creditedVictories, 48 aerial victories]
-
A.
victoryIn
Indicates that one entity achieves a win or success in a specific contest, event, or competitive context involving another entity.
-
B.
wonAgainst
Indicates that one entity achieved victory over another in a competition, conflict, or contest.
-
C.
careerWins
chosen
Indicates the total number of wins an individual or entity has accumulated over the course of their entire career.
-
D.
wonAt
Indicates that one entity achieved victory or success in a specific event, competition, or context.
-
E.
serviceNumberOfVictories
Indicates the number of victories achieved in the context of a particular service or service-related activity.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea36c6881909eaea48e9608897a |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.