Triple

T3796155
Position Surface form Disambiguated ID Type / Status
Subject Ribera d’Ebre E89774 entity
Predicate borderedBy P224 FINISHED
Object Priorat
Priorat is a renowned wine-producing comarca in Catalonia, Spain, famous for its steep vineyards and powerful red wines.
E391594 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: Priorat | Statement: [Ribera d’Ebre, borderedBy, Priorat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Priorat
Context triple: [Ribera d’Ebre, borderedBy, Priorat]
  • A. Alt Penedès
    Alt Penedès is a comarca in Catalonia, Spain, renowned for its vineyards and production of cava and other wines.
  • B. Vilafranca del Penedès
    Vilafranca del Penedès is a historic town in Catalonia, Spain, known as a traditional wine-producing center in the Penedès region.
  • C. Noguera Ribagorçana
    Noguera Ribagorçana is a river in northeastern Spain that flows through the Pyrenees and Catalonia before joining the Ebro River.
  • D. Vallès Oriental
    Vallès Oriental is a comarca (county) in Catalonia, Spain, known for its mix of industrial towns and rural landscapes northeast of Barcelona.
  • E. 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.
  • 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: Priorat
Triple: [Ribera d’Ebre, borderedBy, Priorat]
Generated description
Priorat is a renowned wine-producing comarca in Catalonia, Spain, famous for its steep vineyards and powerful red wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Priorat
Target entity description: Priorat is a renowned wine-producing comarca in Catalonia, Spain, famous for its steep vineyards and powerful red wines.
  • A. Alt Penedès
    Alt Penedès is a comarca in Catalonia, Spain, renowned for its vineyards and production of cava and other wines.
  • B. Vilafranca del Penedès
    Vilafranca del Penedès is a historic town in Catalonia, Spain, known as a traditional wine-producing center in the Penedès region.
  • C. Noguera Ribagorçana
    Noguera Ribagorçana is a river in northeastern Spain that flows through the Pyrenees and Catalonia before joining the Ebro River.
  • D. Vallès Oriental
    Vallès Oriental is a comarca (county) in Catalonia, Spain, known for its mix of industrial towns and rural landscapes northeast of Barcelona.
  • E. 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.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79f09bc8190b7514a11a030eba5 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb232650819089feed9d5bb8c91a completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fc7abfb481908f563e17e6e57a4e completed March 14, 2026, 6:13 a.m.
NED2 Entity disambiguation (via description) batch_69b4fce0a6a88190be19941a70caebdc completed March 14, 2026, 6:14 a.m.
Created at: March 9, 2026, 3:15 p.m.