Triple
T33711937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Kłuszyn |
E863764
|
entity |
| Predicate | strengthPolishLithuanian |
P177228
|
FINISHED |
| Object | approximately 6,000–7,000 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: approximately 6,000–7,000 troops | Statement: [Battle of Kłuszyn, strengthPolishLithuanian, approximately 6,000–7,000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strengthPolishLithuanian Context triple: [Battle of Kłuszyn, strengthPolishLithuanian, approximately 6,000–7,000 troops]
-
A.
PolishObjective
Indicates that an entity is the target or goal of a polishing action or process.
-
B.
SaxonPolishStrength
Indicates a relationship where the strength or power dynamics between Saxon and Polish entities are being compared, measured, or characterized.
-
C.
isPolish
Indicates that an entity has the property of being Polish, typically in terms of nationality, origin, or cultural affiliation.
-
D.
polishUnit
Indicates that one entity performs the action of polishing or refining another entity, typically improving its surface, appearance, or quality.
-
E.
meaningInPolish
Indicates that one entity expresses the meaning or translation of another entity in the Polish language.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fae2a7a8819099945d1706a94bfd |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:43 a.m.