Triple

T10769105
Position Surface form Disambiguated ID Type / Status
Subject Province of Lleida E254027 entity
Predicate hasLandscape P940 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: [Province of Lleida, hasLandscape, Pyrenees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyrenees
Context triple: [Province of Lleida, hasLandscape, 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. 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.
  • E. Albis range
    The Albis range is a chain of wooded hills in the canton of Zurich, Switzerland, forming a prominent natural backdrop southwest of the city and overlooking Lake Zurich.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7322f9968819098b0ad54b913bfe4 completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de236d0a78819090774656b7b492e5 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.