Triple
T20369464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleiloch Dam |
E497009
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Bad Lobenstein
Bad Lobenstein is a small spa town in Thuringia, Germany, known for its health resorts and scenic surroundings in the Saale river region.
|
E1426543
|
NE FINISHED |
How this triple was built (4 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: Bad Lobenstein | Statement: [Bleiloch Dam, locatedNear, Bad Lobenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Lobenstein Context triple: [Bleiloch Dam, locatedNear, Bad Lobenstein]
-
A.
Bad Tennstedt
Bad Tennstedt is a small spa town in Thuringia, Germany, known for its mineral springs and location in the Unstrut river landscape.
-
B.
Bad Grönenbach
Bad Grönenbach is a spa town in the Bavarian Allgäu region of southern Germany, known for its health resorts and picturesque rural surroundings.
-
C.
Bad Iburg
Bad Iburg is a small spa town in Lower Saxony, Germany, known for its historic Iburg Castle and surrounding Teutoburg Forest scenery.
-
D.
Bad Salzig
Bad Salzig is a spa district and riverside locality of the town of Boppard in Rhineland-Palatinate, Germany, known for its mineral springs and scenic setting along the Middle Rhine.
-
E.
Bad Nauheim
Bad Nauheim is a spa town in the German state of Hesse, historically known for its therapeutic mineral springs and health resorts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bad Lobenstein Triple: [Bleiloch Dam, locatedNear, Bad Lobenstein]
Generated description
Bad Lobenstein is a small spa town in Thuringia, Germany, known for its health resorts and scenic surroundings in the Saale river region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Lobenstein Target entity description: Bad Lobenstein is a small spa town in Thuringia, Germany, known for its health resorts and scenic surroundings in the Saale river region.
-
A.
Bad Tennstedt
Bad Tennstedt is a small spa town in Thuringia, Germany, known for its mineral springs and location in the Unstrut river landscape.
-
B.
Bad Grönenbach
Bad Grönenbach is a spa town in the Bavarian Allgäu region of southern Germany, known for its health resorts and picturesque rural surroundings.
-
C.
Bad Iburg
Bad Iburg is a small spa town in Lower Saxony, Germany, known for its historic Iburg Castle and surrounding Teutoburg Forest scenery.
-
D.
Bad Salzig
Bad Salzig is a spa district and riverside locality of the town of Boppard in Rhineland-Palatinate, Germany, known for its mineral springs and scenic setting along the Middle Rhine.
-
E.
Bad Nauheim
Bad Nauheim is a spa town in the German state of Hesse, historically known for its therapeutic mineral springs and health resorts.
- F. None of above. chosen
Provenance (5 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787454a88190ae87d9b3c9b5ad27 |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08708d48c08190ac0ccbc910d4af4b |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a087129ce3c8190a67ac34ec697ad31 |
completed | May 16, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0871e3573c81908216b5e508374081 |
completed | May 16, 2026, 1:32 p.m. |
Created at: April 16, 2026, 11:26 a.m.