Triple
T11734213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Kokenhausen |
E278983
|
entity |
| Predicate | side2Strength |
P101060
|
FINISHED |
| Object | larger Swedish force |
—
|
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: larger Swedish force | Statement: [Battle of Kokenhausen, side2Strength, larger Swedish force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: side2Strength Context triple: [Battle of Kokenhausen, side2Strength, larger Swedish force]
-
A.
side2
Indicates that an entity is positioned on, associated with, or corresponds to the second side of another entity or structure.
-
B.
forcesSide2
Indicates that one entity compels or coerces another entity to take or remain on a particular side or position in a situation or conflict.
-
C.
side
Indicates that one entity is located at, aligned with, or associated with the lateral part or edge of another entity.
-
D.
totalStrength
Indicates the overall magnitude or combined level of strength associated with an entity or group of entities.
-
E.
sideTwoLength
Indicates the length measurement of the second side in a geometric figure or object.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.