Triple

T14144970
Position Surface form Disambiguated ID Type / Status
Subject Alps four-thousanders E350521 entity
Predicate hasMember P10 FINISHED
Object Ludwigshöhe
Ludwigshöhe is a 4,341-meter peak in the Pennine Alps on the border between Switzerland and Italy, forming part of the Monte Rosa massif.
 E1089253 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: Ludwigshöhe | Statement: [Alps four-thousanders, hasMember, Ludwigshöhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ludwigshöhe
Context triple: [Alps four-thousanders, hasMember, Ludwigshöhe]
  • A. Leopoldshöhe
    Leopoldshöhe is a municipality in the district of Lippe in North Rhine-Westphalia, Germany, known as a residential community near the city of Bielefeld.
  • B. Ottobrunn
    Ottobrunn is a suburban municipality near Munich in Bavaria, Germany, known for its residential character and aerospace industry presence.
  • C. Pfersdorf
    Pfersdorf is a village-level subdivision of the municipality of Roth in Bavaria, Germany.
  • D. Ranshofen
    Ranshofen is a district of the town of Braunau am Inn in Upper Austria, known historically for its industrial facilities and its location near the German border.
  • E. Gneixendorf
    Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
  • 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: Ludwigshöhe
Triple: [Alps four-thousanders, hasMember, Ludwigshöhe]
Generated description
Ludwigshöhe is a 4,341-meter peak in the Pennine Alps on the border between Switzerland and Italy, forming part of the Monte Rosa massif.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ludwigshöhe
Target entity description: Ludwigshöhe is a 4,341-meter peak in the Pennine Alps on the border between Switzerland and Italy, forming part of the Monte Rosa massif.
  • A. Leopoldshöhe
    Leopoldshöhe is a municipality in the district of Lippe in North Rhine-Westphalia, Germany, known as a residential community near the city of Bielefeld.
  • B. Ottobrunn
    Ottobrunn is a suburban municipality near Munich in Bavaria, Germany, known for its residential character and aerospace industry presence.
  • C. Pfersdorf
    Pfersdorf is a village-level subdivision of the municipality of Roth in Bavaria, Germany.
  • D. Ranshofen
    Ranshofen is a district of the town of Braunau am Inn in Upper Austria, known historically for its industrial facilities and its location near the German border.
  • E. Gneixendorf
    Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61214de081909a5186ff11336f97 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324531c88190abab2092d1f7145d completed May 8, 2026, 12:45 a.m.
NEDg Description generation batch_69fd336aa8048190bd0719c6532ca9f1 completed May 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd33fd92608190a0dcaaafe0cfc51a completed May 8, 2026, 12:53 a.m.
Created at: April 10, 2026, 12:53 a.m.