Triple
T18735998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herrenberg |
E458163
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Kuppingen
Kuppingen is a village and district of the town of Herrenberg in the German state of Baden-Württemberg.
|
E1339650
|
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: Kuppingen | Statement: [Herrenberg, hasSubdivision, Kuppingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuppingen Context triple: [Herrenberg, hasSubdivision, Kuppingen]
-
A.
Suppingen
Suppingen is a small village in the Swabian Alb region of Baden-Württemberg, Germany, that forms one of the districts of the town of Laichingen.
-
B.
Kølpen
Kølpen is one of the small islands in the Hirsholmene archipelago off the northeast coast of Jutland in Denmark.
-
C.
Kvænangen
Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
-
D.
Kopparberg
Kopparberg is a small town in central Sweden known historically for its mining heritage and as an administrative and service center for the surrounding rural area.
-
E.
Kirkefjerdingen
Kirkefjerdingen is a small settlement located within the municipality of Eidsberg in Østfold county, Norway.
- 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: Kuppingen Triple: [Herrenberg, hasSubdivision, Kuppingen]
Generated description
Kuppingen is a village and district of the town of Herrenberg in the German state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuppingen Target entity description: Kuppingen is a village and district of the town of Herrenberg in the German state of Baden-Württemberg.
-
A.
Suppingen
Suppingen is a small village in the Swabian Alb region of Baden-Württemberg, Germany, that forms one of the districts of the town of Laichingen.
-
B.
Kølpen
Kølpen is one of the small islands in the Hirsholmene archipelago off the northeast coast of Jutland in Denmark.
-
C.
Kvænangen
Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
-
D.
Kopparberg
Kopparberg is a small town in central Sweden known historically for its mining heritage and as an administrative and service center for the surrounding rural area.
-
E.
Kirkefjerdingen
Kirkefjerdingen is a small settlement located within the municipality of Eidsberg in Østfold county, Norway.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7ae10081908bc6857d1d147eef |
completed | April 20, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05325fae0c8190a7f1a726ad86e3b6 |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a0532ce7c388190a8d6b2d83ec52354 |
completed | May 14, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053363f09c8190a7927345f1d027b3 |
completed | May 14, 2026, 2:28 a.m. |
Created at: April 10, 2026, 11:51 a.m.