Triple

T1839022
Position Surface form Disambiguated ID Type / Status
Subject Zugspitze E41130 entity
Predicate hasGlacier P4580 FINISHED
Object Zugspitzplatt
Zugspitzplatt is a high alpine plateau on Germany’s highest mountain, known for its glacier remnants, ski area, and access to the Zugspitze summit.
E206825 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: Zugspitzplatt | Statement: [Zugspitze, hasGlacier, Zugspitzplatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zugspitzplatt
Context triple: [Zugspitze, hasGlacier, Zugspitzplatt]
  • A. Niederalm
    Niederalm is a locality within the municipality of Anif in the Austrian state of Salzburg.
  • 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. Mürren
    Mürren is a traditional, car-free mountain village and popular ski resort perched high above the Lauterbrunnen Valley in the Swiss Bernese Alps.
  • D. Königstuhl
    Königstuhl is a prominent hill overlooking Heidelberg in southwestern Germany, known for its panoramic views, observatories, and access via a historic funicular railway.
  • E. Lenzspitze
    Lenzspitze is a prominent high-altitude peak in the Swiss Pennine Alps, known for its sharp ridges and challenging alpine climbing routes.
  • 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: Zugspitzplatt
Triple: [Zugspitze, hasGlacier, Zugspitzplatt]
Generated description
Zugspitzplatt is a high alpine plateau on Germany’s highest mountain, known for its glacier remnants, ski area, and access to the Zugspitze summit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zugspitzplatt
Target entity description: Zugspitzplatt is a high alpine plateau on Germany’s highest mountain, known for its glacier remnants, ski area, and access to the Zugspitze summit.
  • A. Niederalm
    Niederalm is a locality within the municipality of Anif in the Austrian state of Salzburg.
  • 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. Mürren
    Mürren is a traditional, car-free mountain village and popular ski resort perched high above the Lauterbrunnen Valley in the Swiss Bernese Alps.
  • D. Königstuhl
    Königstuhl is a prominent hill overlooking Heidelberg in southwestern Germany, known for its panoramic views, observatories, and access via a historic funicular railway.
  • E. Lenzspitze
    Lenzspitze is a prominent high-altitude peak in the Swiss Pennine Alps, known for its sharp ridges and challenging alpine climbing routes.
  • 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.