Triple

T6002011
Position Surface form Disambiguated ID Type / Status
Subject Estadi Olímpic Lluís Companys E133618 entity
Predicate renovationArchitect P6475 FINISHED
Object Bohigas
Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
 E562476 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: Bohigas | Statement: [Estadi Olímpic Lluís Companys, renovationArchitect, Bohigas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bohigas
Context triple: [Estadi Olímpic Lluís Companys, renovationArchitect, Bohigas]
  • A. Fuendetodos
    Fuendetodos is a small village in the province of Zaragoza, Spain, best known as the birthplace of the renowned painter Francisco de Goya.
  • B. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • C. Soatá
    Soatá is a small town and municipality in the Boyacá Department of Colombia, known for its dry canyon landscapes and production of regional fruits.
  • D. Puntallana
    Puntallana is a small coastal municipality and rural village on the northeastern side of the island of La Palma in Spain’s Canary Islands.
  • E. Vegueta
    Vegueta is the historic old quarter of Las Palmas de Gran Canaria, known for its colonial architecture, cobbled streets, and cultural landmarks.
  • 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: Bohigas
Triple: [Estadi Olímpic Lluís Companys, renovationArchitect, Bohigas]
Generated description
Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bohigas
Target entity description: Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
  • A. Fuendetodos
    Fuendetodos is a small village in the province of Zaragoza, Spain, best known as the birthplace of the renowned painter Francisco de Goya.
  • B. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • C. Soatá
    Soatá is a small town and municipality in the Boyacá Department of Colombia, known for its dry canyon landscapes and production of regional fruits.
  • D. Puntallana
    Puntallana is a small coastal municipality and rural village on the northeastern side of the island of La Palma in Spain’s Canary Islands.
  • E. Vegueta
    Vegueta is the historic old quarter of Las Palmas de Gran Canaria, known for its colonial architecture, cobbled streets, and cultural landmarks.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04ee9cb0c8190a3361c36ac3944af completed March 22, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10888e58c8190a9454de046b27faf completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c10b5816548190b73f19e12cdf8e03 completed March 23, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69c10c39fb848190a557278d3cd23560 completed March 23, 2026, 9:47 a.m.
Created at: March 22, 2026, 4:05 p.m.