Triple

T15597433
Position Surface form Disambiguated ID Type / Status
Subject Badbergen E374938 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Gehrde
Gehrde is a small municipality in Lower Saxony, Germany, situated in the district of Osnabrück.
E1209752 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: Gehrde | Statement: [Badbergen, hasNeighbouringMunicipality, Gehrde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gehrde
Context triple: [Badbergen, hasNeighbouringMunicipality, Gehrde]
  • A. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • B. Ödsbach
    Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
  • C. 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.
  • D. Gödringen
    Gödringen is a village and district of the town of Sarstedt in Lower Saxony, Germany.
  • E. Wülscheid
    Wülscheid is a small locality within the Aegidienberg district of Bad Honnef in North Rhine-Westphalia, 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: Gehrde
Triple: [Badbergen, hasNeighbouringMunicipality, Gehrde]
Generated description
Gehrde is a small municipality in Lower Saxony, Germany, situated in the district of Osnabrück.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gehrde
Target entity description: Gehrde is a small municipality in Lower Saxony, Germany, situated in the district of Osnabrück.
  • A. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • B. Ödsbach
    Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
  • C. 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.
  • D. Gödringen
    Gödringen is a village and district of the town of Sarstedt in Lower Saxony, Germany.
  • E. Wülscheid
    Wülscheid is a small locality within the Aegidienberg district of Bad Honnef in North Rhine-Westphalia, 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e609ab081909feb486a57439960 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035450810819092796c556dfa8ed3 completed May 10, 2026, 7:35 a.m.
NEDg Description generation batch_6a0036111b54819096d62c61b8d4244d completed May 10, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_6a00374fdecc819091f64e3174d013a6 completed May 10, 2026, 7:44 a.m.
Created at: April 10, 2026, 4:12 a.m.