Triple
T23781362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesnaya |
E587822
|
entity |
| Predicate | warTheaterOf |
P133163
|
FINISHED |
| Object | Great Northern War |
—
|
NE NERFINISHED |
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: Great Northern War | Statement: [Lesnaya, warTheaterOf, Great Northern War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warTheaterOf Context triple: [Lesnaya, warTheaterOf, Great Northern War]
-
A.
warTheaterContext
chosen
Indicates the broader war or military campaign within which a specific battle, operation, or conflict event takes place.
-
B.
theaterOfWar
Indicates that a specified location or region is the primary area where a particular conflict, war, or military operation takes place.
-
C.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
-
D.
sharesWorldWarTheater
Indicates that two military operations or events took place in the same theater of operations during a World War.
-
E.
warName
Indicates the specific name or title assigned to a particular war or armed 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c62bef608190b75afa6bf4024ae3 |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:16 p.m.