Triple

T16770382
Position Surface form Disambiguated ID Type / Status
Subject Maladeta Glacier E407576 entity
Predicate mountainRange P648 FINISHED
Object Pyrenees E7087 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: Pyrenees | Statement: [Maladeta Glacier, mountainRange, Pyrenees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyrenees
Context triple: [Maladeta Glacier, mountainRange, Pyrenees]
  • A. Pyrenees chosen
    The Pyrenees are a major mountain range in southwest Europe forming a natural border between France and Spain, known for their rugged peaks, scenic valleys, and popular hiking and skiing areas.
  • B. Sierra de Francia
    Sierra de Francia is a mountainous subrange in western Spain known for its rugged landscapes, traditional villages, and rich natural and cultural heritage.
  • C. Montes Alpes
    Montes Alpes is a prominent lunar mountain range located along the northeastern edge of Mare Imbrium on the Moon.
  • D. Catalan Pyrenees
    The Catalan Pyrenees are a mountainous region in northeastern Spain known for their dramatic landscapes, medieval villages, and rich legacy of Romanesque churches and art.
  • E. Alps
    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.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0356a9c8190b316cd00223e7537 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a533e83481909966a7b86c8c8e64 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.