Triple
T13730395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayreuth Dragoons |
E329780
|
entity |
| Predicate | associatedPlace |
P1481
|
FINISHED |
| Object | Hohenfriedberg |
E329778
|
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: Hohenfriedberg | Statement: [Bayreuth Dragoons, associatedPlace, Hohenfriedberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohenfriedberg Context triple: [Bayreuth Dragoons, associatedPlace, Hohenfriedberg]
-
A.
Hohenfriedberg
chosen
Hohenfriedberg is a historic locality in present-day southwestern Poland, best known as the site of a major Prussian victory over Austrian and Saxon forces during the War of the Austrian Succession.
-
B.
Katharinenfeld
Katharinenfeld was the historical German settler colony that later became the town of Bolnisi in southern Georgia.
-
C.
Schwetzingen
Schwetzingen is a town in southwestern Germany renowned for its Baroque palace and extensive formal gardens.
-
D.
Fürstenstein
Fürstenstein is a small Bavarian municipality in southeastern Germany, located in the rural Passau district near the Austrian border.
-
E.
Moritzburg
Moritzburg is a small Saxon town in eastern Germany, best known for its Baroque Moritzburg Castle and surrounding lakes and forests.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f92b588190be97ec4564dddd59 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d65062c819086a5f7a7ebc45412 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.