Triple

T17860934
Position Surface form Disambiguated ID Type / Status
Subject Pic Saint-Loup E446068 entity
Predicate visibleFrom P1165 FINISHED
Object Montpellier 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: Montpellier plain | Statement: [Pic Saint-Loup, visibleFrom, Montpellier plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montpellier plain
Context triple: [Pic Saint-Loup, visibleFrom, Montpellier plain]
  • A. Montpellier plain chosen
    The Montpellier plain is a low-lying area surrounding the city of Montpellier in southern France, characterized by its agricultural landscapes and Mediterranean climate.
  • 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. Roussillon plain
    The Roussillon plain is a fertile coastal lowland in southern France near the Mediterranean, known for its agriculture, vineyards, and seaside resorts.
  • D. 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.
  • E. Aubrac plateau
    The Aubrac plateau is a high volcanic and granitic upland in southern France known for its wide open pastures, traditional cattle breeding, and rugged, sparsely populated landscapes.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4979013dc8190beb7718f0ba92bc3 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.