Triple
T14982634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boppard |
E373617
|
entity |
| Predicate | hasCityPart |
P12399
|
FINISHED |
| Object |
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.
|
E1130432
|
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 Salzig | Statement: [Boppard, hasCityPart, Bad Salzig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Salzig Context triple: [Boppard, hasCityPart, Bad Salzig]
-
A.
Bad Saarow
Bad Saarow is a German spa town in Brandenburg known for its thermal baths and lakeside setting on the Scharmützelsee.
-
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 Schlema
Bad Schlema is a spa town in Saxony, Germany, known for its radon and mineral springs and its history of uranium mining.
-
D.
Bad Brambach
Bad Brambach is a German spa town in the Vogtland region of Saxony, renowned for its mineral springs and therapeutic health resorts.
-
E.
Bad Tennstedt
Bad Tennstedt is a small spa town in Thuringia, Germany, known for its mineral springs and location in the Unstrut river landscape.
- 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 Salzig Triple: [Boppard, hasCityPart, Bad Salzig]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Salzig Target entity description: 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.
-
A.
Bad Saarow
Bad Saarow is a German spa town in Brandenburg known for its thermal baths and lakeside setting on the Scharmützelsee.
-
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 Schlema
Bad Schlema is a spa town in Saxony, Germany, known for its radon and mineral springs and its history of uranium mining.
-
D.
Bad Brambach
Bad Brambach is a German spa town in the Vogtland region of Saxony, renowned for its mineral springs and therapeutic health resorts.
-
E.
Bad Tennstedt
Bad Tennstedt is a small spa town in Thuringia, Germany, known for its mineral springs and location in the Unstrut river landscape.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bf136e88190b3d812f50233c640 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe908c25c88190be07a8e12a5cd70b |
completed | May 9, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9136938081908290c0dfbf140c63 |
completed | May 9, 2026, 1:43 a.m. |
Created at: April 10, 2026, 2:52 a.m.