Triple

T22640904
Position Surface form Disambiguated ID Type / Status
Subject Princess Alexandra of Luxembourg E558820 entity
Predicate marriagePlace P128 FINISHED
Object Biarritz 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: Biarritz | Statement: [Princess Alexandra of Luxembourg, marriagePlace, Biarritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biarritz
Context triple: [Princess Alexandra of Luxembourg, marriagePlace, 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. Eysines
    Eysines is a suburban commune in southwestern France that forms part of the greater Bordeaux metropolitan area.
  • D. 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.
  • E. 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.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f170116fe881908178cffef26e3ae7 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.