Triple

T6285004
Position Surface form Disambiguated ID Type / Status
Subject historic centre of Madrid E140878 entity
Predicate hasPart P35 FINISHED
Object Cava Alta E582661 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: Cava Alta | Statement: [historic centre of Madrid, hasPart, Cava Alta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cava Alta
Context triple: [historic centre of Madrid, hasPart, Cava Alta]
  • A. Terra Alta
    Terra Alta is a rural comarca in southern Catalonia, Spain, known for its wine production and as a major battleground during the Spanish Civil War.
  • B. Valle de Tena
    Valle de Tena is a scenic Pyrenean valley in northeastern Spain known for its mountain landscapes, ski resorts, and outdoor recreation.
  • C. Cava Baja chosen
    Cava Baja is a famous, centuries-old street in Madrid’s historic center known for its traditional taverns, tapas bars, and vibrant nightlife.
  • D. Vinaròs
    Vinaròs is a coastal town in the province of Castellón, Spain, known for its fishing port, beaches, and historic role in the Spanish Civil War.
  • E. Cuiva
    The Cuiva are an Indigenous people of the Colombian and Venezuelan Llanos, traditionally semi-nomadic hunter-gatherers known for their close relationship with the savanna environment and for facing significant pressures from land conflicts and colonization.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063fc906481908283c6c50a212515 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e418a9e4819083f446b05175e904 completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:26 p.m.