Triple

T8020368
Position Surface form Disambiguated ID Type / Status
Subject Unstrut River region E186724 entity
Predicate contains P35 FINISHED
Object Laucha an der Unstrut
Laucha an der Unstrut is a small town in Saxony-Anhalt, Germany, known for its location along the Unstrut River in a historic wine-growing and cultural landscape.
E709158 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: Laucha an der Unstrut | Statement: [Unstrut River region, contains, Laucha an der Unstrut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laucha an der Unstrut
Context triple: [Unstrut River region, contains, Laucha an der Unstrut]
  • A. Lauingen
    Lauingen is a historic Bavarian town in southern Germany, best known as the birthplace of the medieval scholar and philosopher Albert the Great.
  • B. Wittenau
    Wittenau is a locality in the Reinickendorf borough of Berlin, Germany, known primarily as a residential area with good transport connections.
  • C. Lichtenfels
    Lichtenfels is a town in the Upper Franconia region of Bavaria, Germany, known for its basket-making tradition and historic architecture.
  • D. Trakehnen
    Trakehnen was a renowned East Prussian stud farm and village, historically famous as the cradle of the Trakehner horse breed.
  • E. Lülsfeld
    Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in 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: Laucha an der Unstrut
Triple: [Unstrut River region, contains, Laucha an der Unstrut]
Generated description
Laucha an der Unstrut is a small town in Saxony-Anhalt, Germany, known for its location along the Unstrut River in a historic wine-growing and cultural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laucha an der Unstrut
Target entity description: Laucha an der Unstrut is a small town in Saxony-Anhalt, Germany, known for its location along the Unstrut River in a historic wine-growing and cultural landscape.
  • A. Lauingen
    Lauingen is a historic Bavarian town in southern Germany, best known as the birthplace of the medieval scholar and philosopher Albert the Great.
  • B. Wittenau
    Wittenau is a locality in the Reinickendorf borough of Berlin, Germany, known primarily as a residential area with good transport connections.
  • C. Lichtenfels
    Lichtenfels is a town in the Upper Franconia region of Bavaria, Germany, known for its basket-making tradition and historic architecture.
  • D. Trakehnen
    Trakehnen was a renowned East Prussian stud farm and village, historically famous as the cradle of the Trakehner horse breed.
  • E. Lülsfeld
    Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8d90488190b57d1e748e272061 completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c6a9208190841ed55b8c6ec73f completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc64be9dfc8190982174ceb2d84cb9 completed April 1, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_69cc664700dc819097d149931cf49673 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:20 p.m.