Triple
T16561046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calw district |
E402337
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Gechingen
Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
|
E1265834
|
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: Gechingen | Statement: [Calw district, containsTown, Gechingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gechingen Context triple: [Calw district, containsTown, Gechingen]
-
A.
Wechingen
Wechingen is a small rural municipality in the Bavarian region of southern Germany.
-
B.
Hechingen
Hechingen is a historic town in the German state of Baden-Württemberg, known for its proximity to Hohenzollern Castle and its role as a former seat of the Hohenzollern dynasty.
-
C.
Effingen
Effingen is a small Swiss village and former municipality in the canton of Aargau, known for its rural character and location near the Jura Mountains.
-
D.
Bochingen
Bochingen is a village and district of the town Oberndorf am Neckar in the state of Baden-Württemberg in southwestern Germany.
-
E.
Nucingen
Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
- 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: Gechingen Triple: [Calw district, containsTown, Gechingen]
Generated description
Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gechingen Target entity description: Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
-
A.
Wechingen
Wechingen is a small rural municipality in the Bavarian region of southern Germany.
-
B.
Hechingen
Hechingen is a historic town in the German state of Baden-Württemberg, known for its proximity to Hohenzollern Castle and its role as a former seat of the Hohenzollern dynasty.
-
C.
Effingen
Effingen is a small Swiss village and former municipality in the canton of Aargau, known for its rural character and location near the Jura Mountains.
-
D.
Bochingen
Bochingen is a village and district of the town Oberndorf am Neckar in the state of Baden-Württemberg in southwestern Germany.
-
E.
Nucingen
Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
- 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_6a019fd7d0648190800540883449cb8e |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a0ea3d3c8190b6c14eea5de3ba5b |
completed | May 11, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a17c0acc8190a556b68fbcefaa76 |
completed | May 11, 2026, 9:29 a.m. |
Created at: April 10, 2026, 5:15 a.m.