Triple

T1839023
Position Surface form Disambiguated ID Type / Status
Subject Zugspitze E41130 entity
Predicate hasGlacier P4580 FINISHED
Object Schneeferner
Schneeferner is a small alpine glacier located on Germany’s highest mountain, the Zugspitze, and is one of the country’s last remaining glaciers.
E206826 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: Schneeferner | Statement: [Zugspitze, hasGlacier, Schneeferner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schneeferner
Context triple: [Zugspitze, hasGlacier, Schneeferner]
  • A. Zugspitze
    Zugspitze is the highest mountain in Germany, located in the Bavarian Alps near the Austrian border.
  • B. Lenzspitze
    Lenzspitze is a prominent high-altitude peak in the Swiss Pennine Alps, known for its sharp ridges and challenging alpine climbing routes.
  • C. 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.
  • D. Brocken
    Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
  • E. Zumsteinspitze
    Zumsteinspitze is one of the high summits of the Monte Rosa massif in the Pennine Alps on the border between Switzerland and Italy.
  • 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: Schneeferner
Triple: [Zugspitze, hasGlacier, Schneeferner]
Generated description
Schneeferner is a small alpine glacier located on Germany’s highest mountain, the Zugspitze, and is one of the country’s last remaining glaciers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schneeferner
Target entity description: Schneeferner is a small alpine glacier located on Germany’s highest mountain, the Zugspitze, and is one of the country’s last remaining glaciers.
  • A. Zugspitze
    Zugspitze is the highest mountain in Germany, located in the Bavarian Alps near the Austrian border.
  • B. Lenzspitze
    Lenzspitze is a prominent high-altitude peak in the Swiss Pennine Alps, known for its sharp ridges and challenging alpine climbing routes.
  • C. 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.
  • D. Brocken
    Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
  • E. Zumsteinspitze
    Zumsteinspitze is one of the high summits of the Monte Rosa massif in the Pennine Alps on the border between Switzerland and Italy.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb039cb588190b2626245a7f0bd67 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b93cd08190a467b56a0c0bd957 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaf078a0819082c4bb48a3820ada completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adce8a68848190ab56f5df7311dbca completed March 8, 2026, 7:31 p.m.
Created at: March 4, 2026, 7:33 p.m.