Triple

T19419704
Position Surface form Disambiguated ID Type / Status
Subject Canigó E485815 entity
Predicate visibleFrom P1165 FINISHED
Object Roussillon plain 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: Roussillon plain | Statement: [Canigó, visibleFrom, Roussillon plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roussillon plain
Context triple: [Canigó, visibleFrom, Roussillon plain]
  • A. Roussillon plain chosen
    The Roussillon plain is a fertile coastal lowland in southern France near the Mediterranean, known for its agriculture, vineyards, and seaside resorts.
  • B. Béziers plain
    The Béziers plain is a fertile lowland region in southern France known for its vineyards, agriculture, and proximity to the Mediterranean coast.
  • C. Montpellier plain
    The Montpellier plain is a low-lying area surrounding the city of Montpellier in southern France, characterized by its agricultural landscapes and Mediterranean climate.
  • D. Serres plain
    Serres plain is a fertile agricultural lowland in northern Greece, known for its extensive crop cultivation and location along the Strymonas (Struma) River.
  • E. Alsace plain
    The Alsace plain is a broad, fertile lowland region in northeastern France, lying between the Vosges Mountains and the Rhine River and known for its agriculture, vineyards, and picturesque villages.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63213b6ec8190b89982b554a0f6e7 completed April 20, 2026, 2:02 p.m.
Created at: April 10, 2026, 1:37 p.m.