Triple
T12877910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leipzig metropolitan region |
E308012
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Mittweida |
E722461
|
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: Mittweida | Statement: [Leipzig metropolitan region, containsCity, Mittweida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mittweida Context triple: [Leipzig metropolitan region, containsCity, Mittweida]
-
A.
Mittweida
chosen
Mittweida is a small town in the German state of Saxony, known for its university of applied sciences and historic architecture.
-
B.
Seiffen
Seiffen is a village in Germany’s Ore Mountains renowned for its traditional wooden toy-making and iconic Christmas decorations.
-
C.
Mitterau
Mitterau is a district of the Austrian city of Krems an der Donau, located in the state of Lower Austria.
-
D.
Mitterfels
Mitterfels is a market town in the Straubing-Bogen district of Lower Bavaria, Germany, known for its historic castle and scenic location in the Bavarian Forest foothills.
-
E.
Weitra
Weitra is a historic small town in Lower Austria known for its medieval architecture and one of the oldest breweries in Austria.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0e54dc48190acf120ca5fe516ab |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:38 p.m.