Triple
T3118588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Hohenfriedberg |
E65123
|
entity |
| Predicate | prisonersTakenByPrussia |
P14513
|
FINISHED |
| Object | several thousand prisoners |
—
|
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: several thousand prisoners | Statement: [Battle of Hohenfriedberg, prisonersTakenByPrussia, several thousand prisoners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonersTakenByPrussia Context triple: [Battle of Hohenfriedberg, prisonersTakenByPrussia, several thousand prisoners]
-
A.
carriedPrisonersFrom
Indicates that an entity transported prisoners away from a specified origin location or source.
-
B.
prisonersOfWar
Indicates a relationship where certain individuals are held in custody by an enemy during an armed conflict as prisoners of war.
-
C.
mainOpponentOfPrussia
Indicates that one entity serves as the primary adversary or principal opposing force to Prussia in a given conflict or rivalry.
-
D.
detainedPrisonersFrom
Indicates that an authority is holding prisoners who originate from or are associated with a specified place or source.
-
E.
estimatedPrisoners
chosen
Indicates a relationship where a value represents the estimated number of prisoners associated with a particular entity 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e975f08190a91a01f37a31b766 |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.