Triple

T17414195
Position Surface form Disambiguated ID Type / Status
Subject Meckesheim E423444 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Zuzenhausen
Zuzenhausen is a small municipality in the Rhein-Neckar district of Baden-Württemberg in southwestern Germany.
E1285249 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: Zuzenhausen | Statement: [Meckesheim, hasNeighboringMunicipality, Zuzenhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zuzenhausen
Context triple: [Meckesheim, hasNeighboringMunicipality, Zuzenhausen]
  • A. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • B. Nennhausen
    Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
  • C. Walzenhausen
    Walzenhausen is a Swiss village and municipality in the canton of Appenzell Ausserrhoden, known for its scenic location above Lake Constance and views over the Rhine Valley.
  • D. Helmarshausen
    Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
  • E. Gunzenhausen
    Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
  • 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: Zuzenhausen
Triple: [Meckesheim, hasNeighboringMunicipality, Zuzenhausen]
Generated description
Zuzenhausen is a small municipality in the Rhein-Neckar district of Baden-Württemberg in southwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zuzenhausen
Target entity description: Zuzenhausen is a small municipality in the Rhein-Neckar district of Baden-Württemberg in southwestern Germany.
  • A. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • B. Nennhausen
    Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
  • C. Walzenhausen
    Walzenhausen is a Swiss village and municipality in the canton of Appenzell Ausserrhoden, known for its scenic location above Lake Constance and views over the Rhine Valley.
  • D. Helmarshausen
    Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
  • E. Gunzenhausen
    Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44230fc688190a6a7edc12d9e9947 completed April 19, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242de3e788190a9fcbf925ef3d95d completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a0244bbf9b881909b33067970c8f223 completed May 11, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a02454ae3c481909e73c226a1fbc998 completed May 11, 2026, 9:08 p.m.
Created at: April 10, 2026, 5:46 a.m.