Triple
T3365002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolf Borchers |
E70813
|
entity |
| Predicate | typeOfVictories |
P6374
|
FINISHED |
| Object | 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: aerial victories | Statement: [Adolf Borchers, typeOfVictories, aerial victories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfVictories Context triple: [Adolf Borchers, typeOfVictories, aerial victories]
-
A.
typeOfVictory
chosen
Indicates the specific manner or category in which a victory was achieved.
-
B.
victoryIn
Indicates that one entity achieves a win or success in a specific contest, event, or competitive context involving another entity.
-
C.
serviceNumberOfVictories
Indicates the number of victories achieved in the context of a particular service or service-related activity.
-
D.
victoriousSide
Indicates which participant or group emerged as the winner in a competitive or conflict situation.
-
E.
conditionOfVictory
Indicates the specific circumstances or criteria under which a participant is considered to have won.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28643f48190b78b0222f8323344 |
completed | March 8, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69ada4317e288190ab7d0f66e9dba65f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.