Triple
T7505130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Raab |
E177367
|
entity |
| Predicate | combatantStrengthAustrianSide |
P77899
|
FINISHED |
| Object | about 35,000 troops |
—
|
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: about 35,000 troops | Statement: [Battle of Raab, combatantStrengthAustrianSide, about 35,000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatantStrengthAustrianSide Context triple: [Battle of Raab, combatantStrengthAustrianSide, about 35,000 troops]
-
A.
combatantStrengthHabsburg
Indicates the relative military strength or capability of a combatant in relation to the Habsburg side in a conflict.
-
B.
combatantCommanderAustria
Indicates that the referenced entity served as a military commander for Austria in a particular conflict or combat situation.
-
C.
AustrianArmy
Indicates that an entity is the Austrian Army or is serving as part of the Austrian Army in a given context.
-
D.
strengthRussoAustrian
Indicates the relative military or political strength between Russian and Austrian forces or interests in a given context.
-
E.
mainOpponentOfAustria
Indicates that one entity is the primary rival or adversary of Austria in a given context (such as politics, war, or competition).
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:44 p.m.