Triple
T1743843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lech River |
E38291
|
entity |
| Predicate | majorCityOnRiver |
P316
|
FINISHED |
| Object | Donauwörth |
E368758
|
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: Donauwörth | Statement: [Lech River, majorCityOnRiver, Donauwörth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donauwörth Context triple: [Lech River, majorCityOnRiver, Donauwörth]
-
A.
Donauwörth
chosen
Donauwörth is a historic Bavarian town in southern Germany situated at the confluence of the Danube and Lech rivers.
-
B.
Straubing
Straubing is a Bavarian town on the Danube River known for its historic city center and role as a regional economic and educational hub.
-
C.
Markranstädt
Markranstädt is a small town in the German state of Saxony, located near Leipzig and known for its local industry and proximity to the Kulkwitzer See recreation area.
-
D.
Amberg
Amberg is a historic town in Bavaria, Germany, known for its well-preserved medieval old town and former role as a regional administrative and trading center.
-
E.
Kulmbach
Kulmbach is a historic Bavarian town in northern Germany renowned for its beer brewing tradition and its hilltop Plassenburg Castle.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63e804848190a19c10f4e609e900 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44eb4706c8190870d99abc140973d |
completed | March 13, 2026, 5:51 p.m. |
Created at: March 4, 2026, 7:31 p.m.