Triple
T5901756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georg Elser |
E131241
|
entity |
| Predicate | victimsOfBombing |
P5123
|
FINISHED |
| Object | 8 people killed at Bürgerbräukeller |
—
|
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: 8 people killed at Bürgerbräukeller | Statement: [Georg Elser, victimsOfBombing, 8 people killed at Bürgerbräukeller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimsOfBombing Context triple: [Georg Elser, victimsOfBombing, 8 people killed at Bürgerbräukeller]
-
A.
numberOfPeopleKilledInBombing
chosen
Indicates the total count of people who were killed as a direct result of a specific bombing event.
-
B.
resultOfBombing
Indicates that something exists or occurs as a consequence or outcome of a bombing event.
-
C.
bombingLocation
Indicates the place where a bombing event occurs or is carried out.
-
D.
cityBombed
Indicates that a particular city was subjected to a bombing attack.
-
E.
bombingName
Indicates that an entity is the name or designated title of a specific bombing event or bombing attack.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.