Triple

T20729832
Position Surface form Disambiguated ID Type / Status
Subject Rench E509542 entity
Predicate flowsThrough P225 FINISHED
Object Lautenbach
Lautenbach is a village in the Ortenau district of Baden-Württemberg, Germany, situated in the Rench Valley of the Black Forest.
E1447478 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: [Rench, flowsThrough, Lautenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lautenbach
Context triple: [Rench, flowsThrough, Lautenbach]
  • A. Laubach
    Laubach is a small historic town in the German state of Hesse, known for its medieval old town and Laubach Castle.
  • B. Brenkhausen
    Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • C. Bauerbach
    Bauerbach is a village-level district that forms part of the town of Bretten in the state of Baden-Württemberg, Germany.
  • D. 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.
  • E. Haselbach
    Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern 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: Lautenbach
Triple: [Rench, flowsThrough, Lautenbach]
Generated description
Lautenbach is a village in the Ortenau district of Baden-Württemberg, Germany, situated in the Rench Valley of the Black Forest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lautenbach
Target entity description: Lautenbach is a village in the Ortenau district of Baden-Württemberg, Germany, situated in the Rench Valley of the Black Forest.
  • A. Laubach
    Laubach is a small historic town in the German state of Hesse, known for its medieval old town and Laubach Castle.
  • B. Brenkhausen
    Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • C. Bauerbach
    Bauerbach is a village-level district that forms part of the town of Bretten in the state of Baden-Württemberg, Germany.
  • D. 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.
  • E. Haselbach
    Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1ec9820819093a07f90503686b2 completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e05db8ac8190bd2e7ca0d184a426 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e15d93ec8190bbe859fb42a4a5ac completed May 16, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08e25d8cb08190ba75b792aac192ab completed May 16, 2026, 9:32 p.m.
Created at: April 16, 2026, 12:30 p.m.