Triple
T3954909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brusilov Offensive |
E84952
|
entity |
| Predicate | AustroHungarianLosses |
P6773
|
FINISHED |
| Object | over 1,000,000 casualties including killed, wounded, and captured |
—
|
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: over 1,000,000 casualties including killed, wounded, and captured | Statement: [Brusilov Offensive, AustroHungarianLosses, over 1,000,000 casualties including killed, wounded, and captured]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AustroHungarianLosses Context triple: [Brusilov Offensive, AustroHungarianLosses, over 1,000,000 casualties including killed, wounded, and captured]
-
A.
AustrianCasualtiesApprox
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.
combatantCommanderAustria
Indicates that the referenced entity served as a military commander for Austria in a particular conflict or combat situation.
-
D.
AustrianGunsCaptured
Indicates that guns belonging to Austrian forces were seized and taken by another party.
-
E.
militaryCasualtiesEstimate
chosen
Indicates an estimated number of people killed, wounded, or missing as a result of military conflict or operations.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:30 p.m.