Triple

T15955834
Position Surface form Disambiguated ID Type / Status
Subject Salzlandkreis E386930 entity
Predicate containsMunicipality P852 FINISHED
Object Börde-Hakel
Börde-Hakel is a small municipality in the German state of Saxony-Anhalt, known for its rural character and agricultural landscape.
E1185881 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: Börde-Hakel | Statement: [Salzlandkreis, containsMunicipality, Börde-Hakel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Börde-Hakel
Context triple: [Salzlandkreis, containsMunicipality, Börde-Hakel]
  • A. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • B. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • C. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • D. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • E. Bardenbach
    Bardenbach is a village and district of the town of Wadern in the Saarland region of western 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: Börde-Hakel
Triple: [Salzlandkreis, containsMunicipality, Börde-Hakel]
Generated description
Börde-Hakel is a small municipality in the German state of Saxony-Anhalt, known for its rural character and agricultural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Börde-Hakel
Target entity description: Börde-Hakel is a small municipality in the German state of Saxony-Anhalt, known for its rural character and agricultural landscape.
  • A. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • B. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • C. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • D. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • E. Bardenbach
    Bardenbach is a village and district of the town of Wadern in the Saarland region of western 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_69ffbe7c8ef081908fa6da7975c271f6 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.