Triple

T18116447
Position Surface form Disambiguated ID Type / Status
Subject Bad Wurzach E433616 entity
Predicate hasSubdivision P747 FINISHED
Object Eintürnen
Eintürnen is a village and district of the spa town Bad Wurzach in the Ravensburg district of Baden-Württemberg, Germany.
 E1306770 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: Eintürnen | Statement: [Bad Wurzach, hasSubdivision, Eintürnen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eintürnen
Context triple: [Bad Wurzach, hasSubdivision, Eintürnen]
  • A. Tuchlauben
    Tuchlauben is a historic street in Vienna’s city center, known for its upscale shops and proximity to major landmarks in the old town.
  • B. Ehlhalten
    Ehlhalten is a village and district of the town of Eppstein in the Rheingau-Taunus region of Hesse, Germany.
  • C. Unterdießen
    Unterdießen is a small municipality in the district of Landsberg am Lech in Bavaria, Germany.
  • D. Kehrsatz
    Kehrsatz is a municipality in the canton of Bern, Switzerland, situated just south of the city of Bern within its metropolitan region.
  • E. Stummplatz
    Stummplatz is a central public square in Neunkirchen, Germany, known as a focal point for local commerce and community events.
  • 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: Eintürnen
Triple: [Bad Wurzach, hasSubdivision, Eintürnen]
Generated description
Eintürnen is a village and district of the spa town Bad Wurzach in the Ravensburg district of Baden-Württemberg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eintürnen
Target entity description: Eintürnen is a village and district of the spa town Bad Wurzach in the Ravensburg district of Baden-Württemberg, Germany.
  • A. Tuchlauben
    Tuchlauben is a historic street in Vienna’s city center, known for its upscale shops and proximity to major landmarks in the old town.
  • B. Ehlhalten
    Ehlhalten is a village and district of the town of Eppstein in the Rheingau-Taunus region of Hesse, Germany.
  • C. Unterdießen
    Unterdießen is a small municipality in the district of Landsberg am Lech in Bavaria, Germany.
  • D. Kehrsatz
    Kehrsatz is a municipality in the canton of Bern, Switzerland, situated just south of the city of Bern within its metropolitan region.
  • E. Stummplatz
    Stummplatz is a central public square in Neunkirchen, Germany, known as a focal point for local commerce and community events.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd67a2481909d27a4a49b095f8c completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c40b66c819095d90006fa7ecc37 completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037d8d2bc081908c23325f016e0a3d completed May 12, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_6a037e38eee4819090dc733e4aa7299b completed May 12, 2026, 7:23 p.m.
Created at: April 10, 2026, 10:28 a.m.