Triple

T9173778
Position Surface form Disambiguated ID Type / Status
Subject Kronberg im Taunus E220143 entity
Predicate twinnedWith P1072 FINISHED
Object Le Lavandou E179579 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: Le Lavandou | Statement: [Kronberg im Taunus, twinnedWith, Le Lavandou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Lavandou
Context triple: [Kronberg im Taunus, twinnedWith, Le Lavandou]
  • A. Le Lavandou chosen
    Le Lavandou is a seaside resort town on the French Riviera in southeastern France, known for its sandy beaches and Mediterranean coastal scenery.
  • B. La Teste-de-Buch
    La Teste-de-Buch is a coastal commune in southwestern France known for its vast forests, Atlantic beaches, and proximity to the Dune of Pilat near Arcachon Bay.
  • C. Le Barcarès
    Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
  • D. Ramatuelle
    Ramatuelle is a picturesque hilltop village and coastal commune on the French Riviera, known for its medieval charm and proximity to the beaches of the Saint-Tropez area.
  • E. Le Bar-sur-Loup
    Le Bar-sur-Loup is a small historic village in southeastern France’s Alpes-Maritimes department, known for its medieval architecture and scenic setting in the Provence-Alpes-Côte d’Azur region.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbfa128d48190b54b8f95d77d81cc completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054a36ef881908079558050c67e7c completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.