Triple
T16561047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calw district |
E402337
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Neubulach
Neubulach is a small historic town in the northern Black Forest region of Baden-Württemberg, Germany, known for its former silver mining and well-preserved medieval character.
|
E1240772
|
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: Neubulach | Statement: [Calw district, containsTown, Neubulach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neubulach Context triple: [Calw district, containsTown, Neubulach]
-
A.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
B.
Steinlach
Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
-
C.
Reischach
Reischach is a municipality in Bavaria, Germany, situated within the district of Altötting.
-
D.
Gloggnitz
Gloggnitz is a town in Lower Austria known as a gateway to the Semmering region and an important stop on the historic Southern Railway line.
-
E.
Villnachern
Villnachern is a Swiss municipality in the canton of Aargau, known for its rural character and location near the Aare River.
- 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: Neubulach Triple: [Calw district, containsTown, Neubulach]
Generated description
Neubulach is a small historic town in the northern Black Forest region of Baden-Württemberg, Germany, known for its former silver mining and well-preserved medieval character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neubulach Target entity description: Neubulach is a small historic town in the northern Black Forest region of Baden-Württemberg, Germany, known for its former silver mining and well-preserved medieval character.
-
A.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
B.
Steinlach
Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
-
C.
Reischach
Reischach is a municipality in Bavaria, Germany, situated within the district of Altötting.
-
D.
Gloggnitz
Gloggnitz is a town in Lower Austria known as a gateway to the Semmering region and an important stop on the historic Southern Railway line.
-
E.
Villnachern
Villnachern is a Swiss municipality in the canton of Aargau, known for its rural character and location near the Aare River.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576d88288190b33543bea4706a36 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfbbbb888190b750d8f4c005ee42 |
completed | May 10, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_6a00d067a6348190bdce8ae810d02741 |
completed | May 10, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d1366f4c8190b5627f67402d96a0 |
completed | May 10, 2026, 6:40 p.m. |
Created at: April 10, 2026, 5:15 a.m.