Triple

T11170724
Position Surface form Disambiguated ID Type / Status
Subject Lutzenberg E264265 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object 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.
E994126 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: Walzenhausen | Statement: [Lutzenberg, hasNeighboringMunicipality, Walzenhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walzenhausen
Context triple: [Lutzenberg, hasNeighboringMunicipality, Walzenhausen]
  • A. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • B. Waigolshausen
    Waigolshausen is a small municipality in the Schweinfurt district of Bavaria, Germany, known for its rural character and location in the Franconian region.
  • C. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • 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. Deisenhausen
    Deisenhausen is a small municipality in the Bavarian region of Swabia in southern 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: Walzenhausen
Triple: [Lutzenberg, hasNeighboringMunicipality, Walzenhausen]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Walzenhausen
Target entity description: 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.
  • A. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • B. Waigolshausen
    Waigolshausen is a small municipality in the Schweinfurt district of Bavaria, Germany, known for its rural character and location in the Franconian region.
  • C. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • 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. Deisenhausen
    Deisenhausen is a small municipality in the Bavarian region of Swabia in southern 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8952e248190b0751669e8c960b7 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6684574908190bd7e3d1a7dd6d876 completed May 2, 2026, 9:10 p.m.
NEDg Description generation batch_69f669527fe881909baeb84ccff506c8 completed May 2, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69f669fe4bc48190adba50ad58b10c45 completed May 2, 2026, 9:17 p.m.
Created at: April 8, 2026, 9:29 p.m.