Triple
T14199133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorch |
E351916
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Espenschied
Espenschied is a small district or locality that forms part of the town of Lorch in the Rheingau-Taunus region of Hesse, Germany.
|
E1158720
|
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: Espenschied | Statement: [Lorch, hasSubdivision, Espenschied]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espenschied Context triple: [Lorch, hasSubdivision, Espenschied]
-
A.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
-
B.
Pennenfeld
Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
-
C.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
-
D.
Eppenhain
Eppenhain is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany, known for its proximity to the Taunus hills and forested surroundings.
-
E.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
- 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: Espenschied Triple: [Lorch, hasSubdivision, Espenschied]
Generated description
Espenschied is a small district or locality that forms part of the town of Lorch in the Rheingau-Taunus region of Hesse, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Espenschied Target entity description: Espenschied is a small district or locality that forms part of the town of Lorch in the Rheingau-Taunus region of Hesse, Germany.
-
A.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
-
B.
Pennenfeld
Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
-
C.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
-
D.
Eppenhain
Eppenhain is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany, known for its proximity to the Taunus hills and forested surroundings.
-
E.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f472548190a1a7edc40526eac3 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce36ce08190930e791e2837d1a5 |
completed | May 9, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69ff2d8849048190b8bd558feceb21cb |
completed | May 9, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2eebae6481908cba15bff63e641d |
completed | May 9, 2026, 12:56 p.m. |
Created at: April 10, 2026, 1:04 a.m.