Triple

T15372242
Position Surface form Disambiguated ID Type / Status
Subject parish of Walls and Flotta E367578 entity
Predicate containsIsland P970 FINISHED
Object Cava
Cava is a small, sparsely populated island in the Orkney archipelago of Scotland, known for its rugged coastline and pastoral landscape.
 E1152473 NE FINISHED

How this triple was built (4 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 | Statement: [parish of Walls and Flotta, containsIsland, Cava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cava
Context triple: [parish of Walls and Flotta, containsIsland, Cava]
  • A. Cava
    Cava is a fast-casual restaurant chain specializing in customizable Mediterranean-inspired bowls, pitas, and salads.
  • B. 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.
  • C. 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.
  • D. Tarragona DO
    Tarragona DO is a Spanish Denominación de Origen wine region in Catalonia known for producing a range of red, white, and fortified wines influenced by its Mediterranean climate.
  • E. Rioja
    Rioja is a city in northern Peru’s San Martín Region, known as a commercial and agricultural center in the Alto Mayo valley.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cava
Triple: [parish of Walls and Flotta, containsIsland, Cava]
Generated description
Cava is a small, sparsely populated island in the Orkney archipelago of Scotland, known for its rugged coastline and pastoral landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cava
Target entity description: Cava is a small, sparsely populated island in the Orkney archipelago of Scotland, known for its rugged coastline and pastoral landscape.
  • A. Cava
    Cava is a fast-casual restaurant chain specializing in customizable Mediterranean-inspired bowls, pitas, and salads.
  • B. 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.
  • C. 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.
  • D. Tarragona DO
    Tarragona DO is a Spanish Denominación de Origen wine region in Catalonia known for producing a range of red, white, and fortified wines influenced by its Mediterranean climate.
  • E. Rioja
    Rioja is a city in northern Peru’s San Martín Region, known as a commercial and agricultural center in the Alto Mayo valley.
  • F. None of above. chosen

Provenance (5 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5c1d548190930bfaf0861595ae completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b528f408190b66d3d6e10e90a43 completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0bc7dfe48190a05c2b826c7fd35c completed May 9, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69ff0c51c6c081908943ddb409655ed6 completed May 9, 2026, 10:28 a.m.
Created at: April 10, 2026, 3:18 a.m.