Triple

T16691774
Position Surface form Disambiguated ID Type / Status
Subject Perdas Carpìas E405610 entity
Predicate mountainRange P648 FINISHED
Object Gennargentu E89857 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: Gennargentu | Statement: [Perdas Carpìas, mountainRange, Gennargentu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gennargentu
Context triple: [Perdas Carpìas, mountainRange, Gennargentu]
  • A. Gennargentu chosen
    Gennargentu is a rugged mountain massif in central Sardinia known for containing the island’s highest peaks and forming part of a major national park.
  • B. Bollène
    Bollène is a commune in southeastern France’s Vaucluse department, known for its historic old town and location near the Rhône River.
  • C. Le Pouliguen
    Le Pouliguen is a small seaside resort town on the Atlantic coast of western France, known for its beaches, harbor, and traditional Breton charm.
  • D. Bois-du-Luc
    Bois-du-Luc is a historic 19th-century coal mining complex in Wallonia, Belgium, preserved as an industrial heritage site and part of a UNESCO-listed mining landscape.
  • E. Bénodet
    Bénodet is a seaside resort town in Brittany, France, known for its beaches, marina, and coastal access to nearby Atlantic islands.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea99bac8190a6c559ed7b7d8ecd completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091984dcc8190b0b20d2e57bc3a11 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.