Triple
T1655756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Aspern-Essling |
E35794
|
entity |
| Predicate | AustrianCasualties |
P22214
|
FINISHED |
| Object | tens of thousands killed wounded or missing |
—
|
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: tens of thousands killed wounded or missing | Statement: [Battle of Aspern-Essling, AustrianCasualties, tens of thousands killed wounded or missing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AustrianCasualties Context triple: [Battle of Aspern-Essling, AustrianCasualties, tens of thousands killed wounded or missing]
-
A.
AustrianCasualtiesApprox
chosen
Indicates an approximate number or estimate of casualties suffered by Austrian forces or entities.
-
B.
AustrianArmy
Indicates that an entity is the Austrian Army or is serving as part of the Austrian Army in a given context.
-
C.
AustrianGunsCaptured
Indicates that guns belonging to Austrian forces were seized and taken by another party.
-
D.
AustrianStrength
Indicates a relationship where an entity possesses or exhibits strength specifically associated with Austria, such as Austrian power, influence, or capability.
-
E.
numberOfGermanVictims
Indicates the quantity of victims who are identified as German in the context of the described event or situation.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.