Triple
T9349366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hofheim am Taunus |
E224974
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Diedenbergen
Diedenbergen is a district of the town Hofheim am Taunus in the German state of Hesse.
|
E792549
|
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: Diedenbergen | Statement: [Hofheim am Taunus, hasSubdivision, Diedenbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diedenbergen Context triple: [Hofheim am Taunus, hasSubdivision, Diedenbergen]
-
A.
Beekdaelen
Beekdaelen is a municipality in the Dutch province of Limburg, known for its rural landscape, historic villages, and rolling hills.
-
B.
Nuweveldberge
Nuweveldberge is a mountain range in South Africa that forms part of the Great Escarpment and is known for its rugged terrain and semi-arid Karoo landscapes.
-
C.
Maasbracht
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
-
D.
Humbeek
Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
-
E.
Moortebeek
Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
- 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: Diedenbergen Triple: [Hofheim am Taunus, hasSubdivision, Diedenbergen]
Generated description
Diedenbergen is a district of the town Hofheim am Taunus in the German state of Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diedenbergen Target entity description: Diedenbergen is a district of the town Hofheim am Taunus in the German state of Hesse.
-
A.
Beekdaelen
Beekdaelen is a municipality in the Dutch province of Limburg, known for its rural landscape, historic villages, and rolling hills.
-
B.
Nuweveldberge
Nuweveldberge is a mountain range in South Africa that forms part of the Great Escarpment and is known for its rugged terrain and semi-arid Karoo landscapes.
-
C.
Maasbracht
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
-
D.
Humbeek
Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
-
E.
Moortebeek
Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f1198b88190adc0b01f7c1be36e |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e43c31008190b542a9c5aa33f30e |
completed | April 4, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d0e587586c8190a73ce417f0b5adec |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e5eb2ce88190973acc2cc8ce254f |
completed | April 4, 2026, 10:20 a.m. |
Created at: March 30, 2026, 7:41 p.m.