Triple

T17049860
Position Surface form Disambiguated ID Type / Status
Subject Main-Tauber-Kreis E413663 entity
Predicate contains P35 FINISHED
Object Freudenberg am Main
Freudenberg am Main is a small town in the Baden-Württemberg region of Germany, situated along the River Main and known for its historic architecture and scenic surroundings.
 E1248420 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: Freudenberg am Main | Statement: [Main-Tauber-Kreis, contains, Freudenberg am Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Freudenberg am Main
Context triple: [Main-Tauber-Kreis, contains, Freudenberg am Main]
  • A. Sulzfeld am Main
    Sulzfeld am Main is a small wine-growing municipality on the river Main in the Franconia region of northern Bavaria, Germany.
  • B. Pfaffenhausen
    Pfaffenhausen is a small market town and municipality in the Unterallgäu district of Bavaria, Germany.
  • C. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • D. Schönteichen
    Schönteichen is a small municipality in the Free State of Saxony in eastern Germany.
  • E. Höchheim
    Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
  • 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: Freudenberg am Main
Triple: [Main-Tauber-Kreis, contains, Freudenberg am Main]
Generated description
Freudenberg am Main is a small town in the Baden-Württemberg region of Germany, situated along the River Main and known for its historic architecture and scenic surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Freudenberg am Main
Target entity description: Freudenberg am Main is a small town in the Baden-Württemberg region of Germany, situated along the River Main and known for its historic architecture and scenic surroundings.
  • A. Sulzfeld am Main
    Sulzfeld am Main is a small wine-growing municipality on the river Main in the Franconia region of northern Bavaria, Germany.
  • B. Pfaffenhausen
    Pfaffenhausen is a small market town and municipality in the Unterallgäu district of Bavaria, Germany.
  • C. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • D. Schönteichen
    Schönteichen is a small municipality in the Free State of Saxony in eastern Germany.
  • E. Höchheim
    Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa1aeac81909e8d97bd708c6b71 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012341b8e88190a2bee865be5ca1c1 completed May 11, 2026, 12:30 a.m.
NEDg Description generation batch_6a012585a1548190a112f55e2d84ccac completed May 11, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0126536c348190b9b2eadb4969f8c2 completed May 11, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:34 a.m.