Triple

T2107644
Position Surface form Disambiguated ID Type / Status
Subject Nouvelle-Aquitaine E42430 entity
Predicate contains P35 FINISHED
Object Biarritz E159069 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: Biarritz | Statement: [Nouvelle-Aquitaine, contains, Biarritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biarritz
Context triple: [Nouvelle-Aquitaine, contains, Biarritz]
  • A. Biarritz chosen
    Biarritz is a renowned seaside resort city on France’s Atlantic coast, famous for its surfing beaches, elegant Belle Époque architecture, and historic status as a fashionable destination for European aristocracy.
  • B. Toulon
    Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
  • C. Brive-la-Gaillarde
    Brive-la-Gaillarde is a historic town in the Corrèze department of south-central France, known for its medieval architecture, vibrant market culture, and role as a regional economic center.
  • D. La Rochelle
    La Rochelle is a historic French Atlantic port city that became a major stronghold and refuge for Huguenots during the French Wars of Religion.
  • E. Perpignan
    Perpignan is a historic city in southern France near the Spanish border, known for its Catalan culture and Mediterranean climate.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbadf12b88190acc513d8512777b2 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306e040081909334f2a70036c26e completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.