Triple
T22502306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Klissow |
E556303
|
entity |
| Predicate | SwedishStrength |
P29908
|
FINISHED |
| Object | about 12,000 soldiers |
—
|
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 12,000 soldiers | Statement: [Battle of Klissow, SwedishStrength, about 12,000 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SwedishStrength Context triple: [Battle of Klissow, SwedishStrength, about 12,000 soldiers]
-
A.
strengthSweden
chosen
Indicates the level or degree of strength associated with Sweden in a given context.
-
B.
strengthDenmark
Indicates a measure or characterization of Denmark’s power, influence, or robustness in a given context.
-
C.
strength
Indicates the degree of power, intensity, or effectiveness with which an entity can act on, influence, or withstand another entity or force.
-
D.
strengthType
Indicates the specific category or nature of strength associated with an entity or relationship (e.g., physical, structural, or conceptual strength).
-
E.
nameInSwedish
Indicates that an entity is known or referred to by a particular name when expressed in the Swedish language.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb6b47481909855fe93e95da7e7 |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:50 p.m.