Triple
T20644459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esslingen district |
E507315
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Notzingen
Notzingen is a small municipality in the German state of Baden-Württemberg, located in the Stuttgart region.
|
E1498956
|
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: Notzingen | Statement: [Esslingen district, contains, Notzingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Notzingen Context triple: [Esslingen district, contains, Notzingen]
-
A.
Nucingen
Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
-
B.
Bochingen
Bochingen is a village and district of the town Oberndorf am Neckar in the state of Baden-Württemberg in southwestern Germany.
-
C.
Gechingen
Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
-
D.
Wechingen
Wechingen is a small rural municipality in the Bavarian region of southern Germany.
-
E.
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.
- 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: Notzingen Triple: [Esslingen district, contains, Notzingen]
Generated description
Notzingen is a small municipality in the German state of Baden-Württemberg, located in the Stuttgart region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Notzingen Target entity description: Notzingen is a small municipality in the German state of Baden-Württemberg, located in the Stuttgart region.
-
A.
Nucingen
Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
-
B.
Bochingen
Bochingen is a village and district of the town Oberndorf am Neckar in the state of Baden-Württemberg in southwestern Germany.
-
C.
Gechingen
Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
-
D.
Wechingen
Wechingen is a small rural municipality in the Bavarian region of southern Germany.
-
E.
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.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1d0be481909e090193dcfd9cf6 |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2eb705288190a77bdd249e57f869 |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a2f52c2688190bf05774546a4ba58 |
completed | May 17, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a2fe468ac81908b591a086eade238 |
completed | May 17, 2026, 9:15 p.m. |
Created at: April 16, 2026, 11:43 a.m.