Triple
T19968253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eckersmühlen |
E479999
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bavaria, Germany |
—
|
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: Bavaria, Germany | Statement: [Eckersmühlen, locatedIn, Bavaria, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bavaria, Germany Context triple: [Eckersmühlen, locatedIn, Bavaria, Germany]
-
A.
Bavaria
chosen
Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
-
B.
Hesse, Germany
Hesse, Germany is a federal state in central Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
-
C.
Fürth, Bavaria, Germany
Fürth is a historic city in the German state of Bavaria, now part of the Nuremberg metropolitan area and known for its rich cultural heritage and Jewish history.
-
D.
Baviera
Baviera is a barangay, or local administrative village, within the city of Sagay in the Philippines.
-
E.
Baden, Germany
Baden, Germany is a historical region in southwestern Germany, formerly a grand duchy, known for its spa towns, wine-growing areas, and location along the Rhine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc6b0208190b1ae30be95712326 |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.