Triple

T18555425
Position Surface form Disambiguated ID Type / Status
Subject Via Domitia E453490 entity
Predicate connects P390 FINISHED
Object Pyrenees NE NERFINISHED

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: [Via Domitia, connects, Pyrenees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyrenees
Context triple: [Via Domitia, connects, 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 (2 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53806046481908efbbe6909b2c68b completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:38 a.m.