Triple
T9480884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duszniki-Zdrój |
E228632
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object |
Bad Reinerz
Bad Reinerz is the former German name of the spa town now known as Duszniki-Zdrój in southwestern Poland.
|
E803028
|
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 Reinerz | Statement: [Duszniki-Zdrój, hasFormerName, Bad Reinerz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Reinerz Context triple: [Duszniki-Zdrój, hasFormerName, Bad Reinerz]
-
A.
Bad Heilbrunn
Bad Heilbrunn is a spa municipality in Upper Bavaria, Germany, known for its health resorts and scenic Alpine foothills setting.
-
B.
Bad Rothenfelde
Bad Rothenfelde is a spa town in Lower Saxony, Germany, known for its saline springs and health resort facilities.
-
C.
Bad Kleinen
Bad Kleinen is a small municipality in northern Germany, known historically as the place where philosopher and logician Gottlob Frege died.
-
D.
Bad Säckingen
Bad Säckingen is a historic spa town in southwestern Germany on the Rhine River, known for its medieval old town and one of the longest covered wooden bridges in Europe.
-
E.
Bad Wildungen
Bad Wildungen is a German spa town in the state of Hesse, known for its mineral springs, health resorts, and extensive parklands.
- 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 Reinerz Triple: [Duszniki-Zdrój, hasFormerName, Bad Reinerz]
Generated description
Bad Reinerz is the former German name of the spa town now known as Duszniki-Zdrój in southwestern Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Reinerz Target entity description: Bad Reinerz is the former German name of the spa town now known as Duszniki-Zdrój in southwestern Poland.
-
A.
Bad Heilbrunn
Bad Heilbrunn is a spa municipality in Upper Bavaria, Germany, known for its health resorts and scenic Alpine foothills setting.
-
B.
Bad Rothenfelde
Bad Rothenfelde is a spa town in Lower Saxony, Germany, known for its saline springs and health resort facilities.
-
C.
Bad Kleinen
Bad Kleinen is a small municipality in northern Germany, known historically as the place where philosopher and logician Gottlob Frege died.
-
D.
Bad Säckingen
Bad Säckingen is a historic spa town in southwestern Germany on the Rhine River, known for its medieval old town and one of the longest covered wooden bridges in Europe.
-
E.
Bad Wildungen
Bad Wildungen is a German spa town in the state of Hesse, known for its mineral springs, health resorts, and extensive parklands.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8018645c8190823d82a93635b345 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cfebb6c8190af3296c7bfd8b3e4 |
completed | April 4, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69d12eba9968819085b9ec027c6e2814 |
completed | April 4, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12f1ccad08190907b812a12efa65b |
completed | April 4, 2026, 3:32 p.m. |
Created at: March 30, 2026, 7:54 p.m.