Triple

T1275140
Position Surface form Disambiguated ID Type / Status
Subject Pennine Alps E15796 entity
Predicate contains P35 FINISHED
Object Lenzspitze
Lenzspitze is a prominent high-altitude peak in the Swiss Pennine Alps, known for its sharp ridges and challenging alpine climbing routes.
 E195821 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: Lenzspitze | Statement: [Pennine Alps, contains, Lenzspitze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lenzspitze
Context triple: [Pennine Alps, contains, Lenzspitze]
  • A. Wildspitze
    Wildspitze is a prominent mountain in the Ötztal Alps of Tyrol, Austria, known as one of the country's highest and most popular alpine climbing peaks.
  • B. Zumsteinspitze
    Zumsteinspitze is one of the high summits of the Monte Rosa massif in the Pennine Alps on the border between Switzerland and Italy.
  • C. Zugspitze
    Zugspitze is the highest mountain in Germany, located in the Bavarian Alps near the Austrian border.
  • D. Finsteraarhorn
    Finsteraarhorn is a prominent, glaciated peak in the Swiss Alps known for its remote location and striking pyramidal shape.
  • E. Lauteraarhorn
    Lauteraarhorn is a prominent, steep pyramidal peak in the Swiss Bernese Alps, known for its challenging climbs and striking glaciated surroundings.
  • 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: Lenzspitze
Triple: [Pennine Alps, contains, Lenzspitze]
Generated description
Lenzspitze is a prominent high-altitude peak in the Swiss Pennine Alps, known for its sharp ridges and challenging alpine climbing routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lenzspitze
Target entity description: Lenzspitze is a prominent high-altitude peak in the Swiss Pennine Alps, known for its sharp ridges and challenging alpine climbing routes.
  • A. Wildspitze
    Wildspitze is a prominent mountain in the Ötztal Alps of Tyrol, Austria, known as one of the country's highest and most popular alpine climbing peaks.
  • B. Zumsteinspitze
    Zumsteinspitze is one of the high summits of the Monte Rosa massif in the Pennine Alps on the border between Switzerland and Italy.
  • C. Zugspitze
    Zugspitze is the highest mountain in Germany, located in the Bavarian Alps near the Austrian border.
  • D. Finsteraarhorn
    Finsteraarhorn is a prominent, glaciated peak in the Swiss Alps known for its remote location and striking pyramidal shape.
  • E. Lauteraarhorn
    Lauteraarhorn is a prominent, steep pyramidal peak in the Swiss Bernese Alps, known for its challenging climbs and striking glaciated surroundings.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06ee22081908141868b57596e35 completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0b77f008190893627daee29c441 completed March 8, 2026, 4:15 p.m.
NEDg Description generation batch_69ada1a0510481908ed8c36c9ae9a1a0 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada26343988190bd067ca97186eb96 completed March 8, 2026, 4:22 p.m.
Created at: March 1, 2026, 7:50 p.m.