Triple

T21659979
Position Surface form Disambiguated ID Type / Status
Subject canton of Guebwiller E534568 entity
Predicate contains P35 FINISHED
Object Lautenbach
Lautenbach is a small commune in the Haut-Rhin department of the Grand Est region in northeastern France.
E1495536 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: Lautenbach | Statement: [canton of Guebwiller, contains, Lautenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lautenbach
Context triple: [canton of Guebwiller, contains, Lautenbach]
  • A. Lautenbach
    Lautenbach is a village in the Ortenau district of Baden-Württemberg, Germany, situated in the Rench Valley of the Black Forest.
  • B. Laubach
    Laubach is a small historic town in the German state of Hesse, known for its medieval old town and Laubach Castle.
  • C. Brenkhausen
    Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • D. Bauerbach
    Bauerbach is a village-level district that forms part of the town of Bretten in the state of Baden-Württemberg, Germany.
  • E. Calmbach
    Calmbach is a small town in Germany’s Black Forest region, known for its scenic location in the Enz Valley and traditional spa and nature tourism.
  • 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: Lautenbach
Triple: [canton of Guebwiller, contains, Lautenbach]
Generated description
Lautenbach is a small commune in the Haut-Rhin department of the Grand Est region in northeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lautenbach
Target entity description: Lautenbach is a small commune in the Haut-Rhin department of the Grand Est region in northeastern France.
  • A. Lautenbach
    Lautenbach is a village in the Ortenau district of Baden-Württemberg, Germany, situated in the Rench Valley of the Black Forest.
  • B. Laubach
    Laubach is a small historic town in the German state of Hesse, known for its medieval old town and Laubach Castle.
  • C. Brenkhausen
    Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • D. Bauerbach
    Bauerbach is a village-level district that forms part of the town of Bretten in the state of Baden-Württemberg, Germany.
  • E. Calmbach
    Calmbach is a small town in Germany’s Black Forest region, known for its scenic location in the Enz Valley and traditional spa and nature tourism.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c06844c81909b9c91e02fa4e6e1 completed April 27, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a159c33788190bf71df313526b663 completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a16c278188190855335930666cede completed May 17, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0a17a2c81481908e229ea58e61843e completed May 17, 2026, 7:31 p.m.
Created at: April 16, 2026, 6:36 p.m.