Triple
T539743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva Braun |
E12602
|
entity |
| Predicate | finalDispositionOfRemains |
P16657
|
FINISHED |
| Object | cremated remains reportedly scattered into the Biederitz River in 1970 |
—
|
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: cremated remains reportedly scattered into the Biederitz River in 1970 | Statement: [Eva Braun, finalDispositionOfRemains, cremated remains reportedly scattered into the Biederitz River in 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalDispositionOfRemains Context triple: [Eva Braun, finalDispositionOfRemains, cremated remains reportedly scattered into the Biederitz River in 1970]
-
A.
cremationPlace
Indicates the place where a person or entity was cremated.
-
B.
countryOfBurial
Indicates the country in which a person or entity is buried.
-
C.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
D.
burialPlace
Indicates the location where a person or entity is buried.
-
E.
hasTypeOfBurial
Indicates the specific kind or method of burial associated with an entity.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b67c308190a1a225ab7c4b74c6 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49857e1148190aa782b82675cf0b5 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.