Triple

T6611616
Position Surface form Disambiguated ID Type / Status
Subject Seve Ballesteros E149250 entity
Predicate placeOfBirth P1 FINISHED
Object Pedreña
Pedreña is a small coastal village in Cantabria, northern Spain, best known as the hometown of legendary golfer Seve Ballesteros.
 E607736 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: Pedreña | Statement: [Seve Ballesteros, placeOfBirth, Pedreña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pedreña
Context triple: [Seve Ballesteros, placeOfBirth, Pedreña]
  • A. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • B. Luarca
    Luarca is a coastal town in Asturias, northern Spain, known for its fishing port, scenic cliffs, and as the birthplace of Nobel Prize–winning biochemist Severo Ochoa.
  • C. Corralejo
    Corralejo is a popular resort town on the northern coast of Fuerteventura in Spain’s Canary Islands, known for its sandy beaches, dunes, and water sports.
  • D. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • E. Peñaranda
    Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
  • 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: Pedreña
Triple: [Seve Ballesteros, placeOfBirth, Pedreña]
Generated description
Pedreña is a small coastal village in Cantabria, northern Spain, best known as the hometown of legendary golfer Seve Ballesteros.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pedreña
Target entity description: Pedreña is a small coastal village in Cantabria, northern Spain, best known as the hometown of legendary golfer Seve Ballesteros.
  • A. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • B. Luarca
    Luarca is a coastal town in Asturias, northern Spain, known for its fishing port, scenic cliffs, and as the birthplace of Nobel Prize–winning biochemist Severo Ochoa.
  • C. Corralejo
    Corralejo is a popular resort town on the northern coast of Fuerteventura in Spain’s Canary Islands, known for its sandy beaches, dunes, and water sports.
  • D. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • E. Peñaranda
    Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af3778a8819094e83afed7c6596f completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44154a08190b031bb74624fba1e completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e61218c4819084c170611077f0e6 completed March 27, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c6e7cc21548190b302e2e31f9cadd0 completed March 27, 2026, 8:25 p.m.
Created at: March 27, 2026, 1:57 p.m.