Triple
T23720410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitwa pod Wschową |
E586127
|
entity |
| Predicate | liczebnośćArmiiSzwedzkiej |
P130574
|
FINISHED |
| Object | około 10 000 żołnierzy |
—
|
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: około 10 000 żołnierzy | Statement: [Bitwa pod Wschową, liczebnośćArmiiSzwedzkiej, około 10 000 żołnierzy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liczebnośćArmiiSzwedzkiej Context triple: [Bitwa pod Wschową, liczebnośćArmiiSzwedzkiej, około 10 000 żołnierzy]
-
A.
commandingForceSize
chosen
Indicates the size or magnitude of the military or organizational force that is exercising command or control in a given context.
-
B.
combatantSwedishSide
Indicates that an entity participated as a combatant on the Swedish side in a conflict or war.
-
C.
typeOfTroops
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
-
D.
commandingForce1Strength
Indicates that one entity has a certain level or measure of strength in its role as the primary commanding force over another entity or situation.
-
E.
SwedishCasualties
Indicates the number or extent of casualties suffered by Swedish forces or individuals in a given event or context.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b910759c8190be189db3e86d7258 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7 p.m.