Triple
T10333629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harz district |
E242940
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bad Suderode
Bad Suderode is a spa village in the Harz region of central Germany, known for its mineral springs and health tourism.
|
E856591
|
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 Suderode | Statement: [Harz district, contains, Bad Suderode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Suderode Context triple: [Harz district, contains, Bad Suderode]
-
A.
Bad Reinerz
Bad Reinerz is the former German name of the spa town now known as Duszniki-Zdrój in southwestern Poland.
-
B.
Bad Segeberg
Bad Segeberg is a small spa town in northern Germany best known for its limestone caves and annual Karl May Festival.
-
C.
Bad Rothenfelde
Bad Rothenfelde is a spa town in Lower Saxony, Germany, known for its saline springs and health resort facilities.
-
D.
Bad Oeynhausen
Bad Oeynhausen is a spa town in North Rhine-Westphalia, Germany, renowned for its thermal springs and health resorts.
-
E.
Bad Salzdetfurth
Bad Salzdetfurth is a spa town in Lower Saxony, Germany, known for its historic saltworks and therapeutic 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 Suderode Triple: [Harz district, contains, Bad Suderode]
Generated description
Bad Suderode is a spa village in the Harz region of central Germany, known for its mineral springs and health tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Suderode Target entity description: Bad Suderode is a spa village in the Harz region of central Germany, known for its mineral springs and health tourism.
-
A.
Bad Reinerz
Bad Reinerz is the former German name of the spa town now known as Duszniki-Zdrój in southwestern Poland.
-
B.
Bad Segeberg
Bad Segeberg is a small spa town in northern Germany best known for its limestone caves and annual Karl May Festival.
-
C.
Bad Rothenfelde
Bad Rothenfelde is a spa town in Lower Saxony, Germany, known for its saline springs and health resort facilities.
-
D.
Bad Oeynhausen
Bad Oeynhausen is a spa town in North Rhine-Westphalia, Germany, renowned for its thermal springs and health resorts.
-
E.
Bad Salzdetfurth
Bad Salzdetfurth is a spa town in Lower Saxony, Germany, known for its historic saltworks and therapeutic 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc366b481909c49f199892e9d42 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75054515081908240f985f8b6e2df |
completed | April 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69d75184cd1c81909e86153bbb516d4f |
completed | April 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7521f0d1c81909f9ae3b46981cdbc |
completed | April 9, 2026, 7:15 a.m. |
Created at: April 6, 2026, 11:53 a.m.