Triple

T6855024
Position Surface form Disambiguated ID Type / Status
Subject Marc Gasol E158115 entity
Predicate playedFor P2170 FINISHED
Object Akasvayu Girona
Akasvayu Girona was a Spanish professional basketball club based in Girona, Catalonia, that competed in the country’s top leagues during the 2000s.
 E624475 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: Akasvayu Girona | Statement: [Marc Gasol, playedFor, Akasvayu Girona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akasvayu Girona
Context triple: [Marc Gasol, playedFor, Akasvayu Girona]
  • A. Girona FC
    Girona FC is a Spanish professional football club based in Girona, Catalonia, that competes in La Liga.
  • B. Call de Girona
    Call de Girona is the historic Jewish quarter of Girona, Spain, known for its well-preserved medieval streets and significant Jewish heritage.
  • C. Gernika Club
    Gernika Club is a Spanish football team based in the town of Gernika-Lumo in the Basque Country.
  • D. Melgar
    Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
  • E. Getafe
    Getafe is a city in central Spain that forms part of the Madrid metropolitan area and is known for its industrial base, university campus, and air force history.
  • 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: Akasvayu Girona
Triple: [Marc Gasol, playedFor, Akasvayu Girona]
Generated description
Akasvayu Girona was a Spanish professional basketball club based in Girona, Catalonia, that competed in the country’s top leagues during the 2000s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akasvayu Girona
Target entity description: Akasvayu Girona was a Spanish professional basketball club based in Girona, Catalonia, that competed in the country’s top leagues during the 2000s.
  • A. Girona FC
    Girona FC is a Spanish professional football club based in Girona, Catalonia, that competes in La Liga.
  • B. Call de Girona
    Call de Girona is the historic Jewish quarter of Girona, Spain, known for its well-preserved medieval streets and significant Jewish heritage.
  • C. Gernika Club
    Gernika Club is a Spanish football team based in the town of Gernika-Lumo in the Basque Country.
  • D. Melgar
    Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
  • E. Getafe
    Getafe is a city in central Spain that forms part of the Madrid metropolitan area and is known for its industrial base, university campus, and air force history.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d86d5a54819088537ada9f8d1105 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fdda9cc8190b039f892d046d7af completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c73913cac88190b97db49266b30b23 completed March 28, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69c739c4313881909fa14f471db0f923 completed March 28, 2026, 2:15 a.m.
Created at: March 27, 2026, 2:20 p.m.