Triple
T8797533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glashütten |
E209325
|
entity |
| Predicate | hasMunicipalPart |
P84684
|
FINISHED |
| Object |
Schloßborn
Schloßborn is a village in Hesse, Germany, known as a district of the municipality of Glashütten in the Taunus region.
|
E806230
|
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: Schloßborn | Statement: [Glashütten, hasMunicipalPart, Schloßborn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schloßborn Context triple: [Glashütten, hasMunicipalPart, Schloßborn]
-
A.
Büttelborn
Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
-
B.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
C.
Brombach
Brombach is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
-
D.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
E.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
- 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: Schloßborn Triple: [Glashütten, hasMunicipalPart, Schloßborn]
Generated description
Schloßborn is a village in Hesse, Germany, known as a district of the municipality of Glashütten in the Taunus region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schloßborn Target entity description: Schloßborn is a village in Hesse, Germany, known as a district of the municipality of Glashütten in the Taunus region.
-
A.
Büttelborn
Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
-
B.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
C.
Brombach
Brombach is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
-
D.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
E.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa370d08190885ef65e3a3e56d3 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14bb716cc819096a1e02e61db2e69 |
completed | April 4, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69d14f8eb6b08190b90d1b709f562d4e |
completed | April 4, 2026, 5:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14fde5acc81909555bde89db8f451 |
completed | April 4, 2026, 5:52 p.m. |
Created at: March 30, 2026, 6:44 p.m.