Triple
T3934544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Warburg |
E90876
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | River Diemel |
E255721
|
NE 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: River Diemel | Statement: [Battle of Warburg, near, River Diemel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Diemel Context triple: [Battle of Warburg, near, River Diemel]
-
A.
Diemel
chosen
The Diemel is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Weser.
-
B.
Würm River
The Würm River is a small river in Bavaria, Germany, known for flowing north from Lake Starnberg through towns such as Gauting and Starnberg before joining the Amper River.
-
C.
Inn River
The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
-
D.
River Pleiße
The River Pleiße is a small river in central Germany that flows through the city and district of Leipzig, contributing to the region’s historic waterways and green corridors.
-
E.
Regnitz
The Regnitz is a river in the German state of Bavaria that flows through cities such as Erlangen and Bamberg before joining the Main River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcbf0188190a5e828707a77752a |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdf9f26be48190bf21b252a922ca69 |
completed | March 21, 2026, 1:52 a.m. |
Created at: March 9, 2026, 3:23 p.m.