Triple
T21928957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Siikajoki |
E541516
|
entity |
| Predicate | combatantStrengthSweden |
P1404
|
FINISHED |
| Object | approximately 4,000 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: approximately 4,000 soldiers | Statement: [Battle of Siikajoki, combatantStrengthSweden, approximately 4,000 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatantStrengthSweden Context triple: [Battle of Siikajoki, combatantStrengthSweden, approximately 4,000 soldiers]
-
A.
combatantCommanderSweden
Indicates that the referenced entity serves as a commander of Swedish combatant forces in a conflict or military context.
-
B.
strengthSweden
Indicates the level or degree of strength associated with Sweden in a given context.
-
C.
combatantStrength
chosen
Indicates the relative level of power, capability, or effectiveness one combatant has in a conflict or confrontation compared to others.
-
D.
SwedishCasualties
Indicates the number or extent of casualties suffered by Swedish forces or individuals in a given event or context.
-
E.
combatantStrengthAustrianSide
Indicates that the associated entity represents the strength or size of the Austrian side’s combatant forces in a conflict.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fcd08481909fecbb2cf0405933 |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:47 p.m.