Triple

T15955831
Position Surface form Disambiguated ID Type / Status
Subject Salzlandkreis E386930 entity
Predicate containsTown P847 FINISHED
Object Hecklingen
Hecklingen is a small town in the Salzlandkreis district of the German state of Saxony-Anhalt, known for its historic architecture and rural character.
E1234738 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: Hecklingen | Statement: [Salzlandkreis, containsTown, Hecklingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hecklingen
Context triple: [Salzlandkreis, containsTown, Hecklingen]
  • A. Heuckewalde
    Heuckewalde is a small municipality in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan region.
  • B. Niederfeld
    Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
  • C. Hägglingen
    Hägglingen is a municipality in the canton of Aargau in northern Switzerland, situated in the district of Bremgarten.
  • D. Eppenhain
    Eppenhain is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany, known for its proximity to the Taunus hills and forested surroundings.
  • E. Geiersthal
    Geiersthal is a small municipality in the Bavarian Forest region of 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: Hecklingen
Triple: [Salzlandkreis, containsTown, Hecklingen]
Generated description
Hecklingen is a small town in the Salzlandkreis district of the German state of Saxony-Anhalt, known for its historic architecture and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hecklingen
Target entity description: Hecklingen is a small town in the Salzlandkreis district of the German state of Saxony-Anhalt, known for its historic architecture and rural character.
  • A. Heuckewalde
    Heuckewalde is a small municipality in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan region.
  • B. Niederfeld
    Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
  • C. Hägglingen
    Hägglingen is a municipality in the canton of Aargau in northern Switzerland, situated in the district of Bremgarten.
  • D. Eppenhain
    Eppenhain is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany, known for its proximity to the Taunus hills and forested surroundings.
  • E. Geiersthal
    Geiersthal is a small municipality in the Bavarian Forest region of 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fb29848190a55cabb49cb19575 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b274fa3481908b019036cd2ae627 completed May 10, 2026, 4:29 p.m.
NEDg Description generation batch_6a00b3ba6b048190a25e17c41921c370 completed May 10, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00b43279688190bf012544b9e6ec41 completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 4:53 a.m.