Triple

T17289284
Position Surface form Disambiguated ID Type / Status
Subject Canet castle E419739 entity
Predicate hasView P854 FINISHED
Object Roussillon plain E419737 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: Roussillon plain | Statement: [Canet castle, hasView, Roussillon plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roussillon plain
Context triple: [Canet castle, hasView, 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 (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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43782b7ac8190b702567e9ccf9a35 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017957c738819087341bcd51b55114 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.