Triple

T19318178
Position Surface form Disambiguated ID Type / Status
Subject Cava E483151 entity
Predicate hasBrand P1500 FINISHED
Object Cava Mezze 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: Cava Mezze | Statement: [Cava, hasBrand, Cava Mezze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cava Mezze
Context triple: [Cava, hasBrand, Cava Mezze]
  • A. Cava
    Cava is a small, sparsely populated island in the Orkney archipelago of Scotland, known for its rugged coastline and pastoral landscape.
  • B. Cava chosen
    Cava is a fast-casual restaurant chain specializing in customizable Mediterranean-inspired bowls, pitas, and salads.
  • C. Cava DO
    Cava DO is a Spanish Denomination of Origin best known for its traditional-method sparkling wines produced primarily in Catalonia and other authorized regions of Spain.
  • D. Cava Baja
    Cava Baja is a famous, centuries-old street in Madrid’s historic center known for its traditional taverns, tapas bars, and vibrant nightlife.
  • E. Utiel-Requena DO
    Utiel-Requena DO is a Spanish Denominación de Origen wine region in the province of Valencia, renowned for its robust red wines, particularly from the Bobal grape variety.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d85046c81909d972a6b369b0c2b completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.