Triple

T13239361
Position Surface form Disambiguated ID Type / Status
Subject Ter E315238 entity
Predicate passesNear P416 FINISHED
Object Ripoll
Ripoll is a historic town in Catalonia, Spain, known as the cradle of Catalan culture and for its Romanesque monastery of Santa Maria de Ripoll.
 E1166166 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: Ripoll | Statement: [Ter, passesNear, Ripoll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ripoll
Context triple: [Ter, passesNear, Ripoll]
  • A. Ripoll
    Ripoll is a Spanish surname of Catalan origin, notably borne by Colombian singer Shakira.
  • B. Tàrrega
    Tàrrega is a historic town in Catalonia, Spain, known for its cultural festivals and medieval heritage.
  • C. Urgell
    Urgell is a historical comarca in inland Catalonia, known for its agricultural landscapes, medieval towns, and role as part of the broader Urgell region that includes the famous bishopric and valley.
  • D. Ampurias
    Ampurias (Empúries) was an ancient Greek and later Roman coastal settlement in northeastern Spain that became an important trading hub in the western Mediterranean.
  • E. Besalú
    Besalú is a well-preserved medieval town in Catalonia, Spain, renowned for its Romanesque architecture and iconic 12th-century stone bridge.
  • 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: Ripoll
Triple: [Ter, passesNear, Ripoll]
Generated description
Ripoll is a historic town in Catalonia, Spain, known as the cradle of Catalan culture and for its Romanesque monastery of Santa Maria de Ripoll.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ripoll
Target entity description: Ripoll is a historic town in Catalonia, Spain, known as the cradle of Catalan culture and for its Romanesque monastery of Santa Maria de Ripoll.
  • A. Ripoll
    Ripoll is a Spanish surname of Catalan origin, notably borne by Colombian singer Shakira.
  • B. Tàrrega
    Tàrrega is a historic town in Catalonia, Spain, known for its cultural festivals and medieval heritage.
  • C. Urgell
    Urgell is a historical comarca in inland Catalonia, known for its agricultural landscapes, medieval towns, and role as part of the broader Urgell region that includes the famous bishopric and valley.
  • D. Ampurias
    Ampurias (Empúries) was an ancient Greek and later Roman coastal settlement in northeastern Spain that became an important trading hub in the western Mediterranean.
  • E. Besalú
    Besalú is a well-preserved medieval town in Catalonia, Spain, renowned for its Romanesque architecture and iconic 12th-century stone bridge.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ade75c8190b556c3b0ba692a96 completed May 9, 2026, 3:45 p.m.
NEDg Description generation batch_69ff5858f6f88190a94a871c831e4f78 completed May 9, 2026, 3:52 p.m.
NED2 Entity disambiguation (via description) batch_69ff589de85c8190abc9c888ac90cf52 completed May 9, 2026, 3:54 p.m.
Created at: April 9, 2026, 9:23 p.m.