Triple
T23720420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitwa pod Wschową |
E586127
|
entity |
| Predicate | liczbaJeńcówPoStronieSaskoRosyjskiej |
P153695
|
FINISHED |
| Object | kilka tysięcy jeńców |
—
|
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: kilka tysięcy jeńców | Statement: [Bitwa pod Wschową, liczbaJeńcówPoStronieSaskoRosyjskiej, kilka tysięcy jeńców]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liczbaJeńcówPoStronieSaskoRosyjskiej Context triple: [Bitwa pod Wschową, liczbaJeńcówPoStronieSaskoRosyjskiej, kilka tysięcy jeńców]
-
A.
sojusznik
Indicates that one entity is an ally or supportive partner of another entity, typically cooperating toward shared goals or interests.
-
B.
SaxonPolishStrength
Indicates a relationship where the strength or power dynamics between Saxon and Polish entities are being compared, measured, or characterized.
-
C.
PolishCommander
Indicates that an entity serves as a military commander associated with Poland.
-
D.
laterNumberOfKnights
Indicates that one entity has a greater (later or higher) number of knights than another entity in a comparative context.
-
E.
PolishUnit
Indicates that a unit is associated with Poland, typically by nationality, origin, or affiliation.
- 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_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. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7 p.m.