Triple

T583521
Position Surface form Disambiguated ID Type / Status
Subject Monte Rosa E15107 entity
Predicate partOf P40 FINISHED
Object Alps E16930 NE FINISHED

How this triple was built (2 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: Alps | Statement: [Monte Rosa, partOf, Alps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alps
Context triple: [Monte Rosa, partOf, Alps]
  • A. Alps chosen
    The Alps are a major European mountain range stretching across several countries, renowned for their high peaks, including Mont Blanc, and their importance for tourism, skiing, and alpine ecosystems.
  • B. Jura Mountains
    The Jura Mountains are a sub-alpine mountain range in Western Europe known for their forested limestone ridges, karst landscapes, and role as a natural boundary between France and Switzerland.
  • C. Pennine Alps
    The Pennine Alps are a major mountain range in the central Alps, straddling the border between Switzerland and Italy and including famous peaks such as the Matterhorn and Monte Rosa.
  • D. Maritime Alps
    The Maritime Alps are a rugged mountain range in the southwestern Alps known for their dramatic peaks, deep valleys, and Mediterranean-influenced climate.
  • E. Apennines
    The Apennines are a major mountain range forming the backbone of peninsular Italy, stretching from the north to the south and influencing the country’s climate, landscapes, and regional cultures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b8745c88190af9672e5fe8396c3 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a52ea8dd8481909108a8873c5d49d5 completed March 2, 2026, 6:31 a.m.
Created at: March 1, 2026, 7:33 p.m.