Triple

T10804437
Position Surface form Disambiguated ID Type / Status
Subject Mataró E254926 entity
Predicate hasSportsClub P346 FINISHED
Object UE Mataró
UE Mataró is a Spanish football club based in the coastal city of Mataró in Catalonia.
E886652 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: UE Mataró | Statement: [Mataró, hasSportsClub, UE Mataró]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UE Mataró
Context triple: [Mataró, hasSportsClub, UE Mataró]
  • A. Les Catalans
    Les Catalans is the traditional nickname for the French rugby union club USA Perpignan, reflecting its strong roots in the Catalan culture of southern France.
  • B. LaLiga Hypermotion
    LaLiga Hypermotion is Spain’s second-highest professional football league, sitting directly below LaLiga in the national league system.
  • C. RCD Mallorca
    RCD Mallorca is a Spanish professional football club based in Palma de Mallorca that competes in La Liga.
  • D. Mataró
    Mataró is a coastal city in northeastern Spain known as an important commercial and industrial center on the Mediterranean near Barcelona.
  • E. Tossa de Mar
    Tossa de Mar is a picturesque coastal town on Spain’s Costa Brava, known for its medieval walled old town, sandy beaches, and historic role as a scenic backdrop in classic cinema.
  • 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: UE Mataró
Triple: [Mataró, hasSportsClub, UE Mataró]
Generated description
UE Mataró is a Spanish football club based in the coastal city of Mataró in Catalonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UE Mataró
Target entity description: UE Mataró is a Spanish football club based in the coastal city of Mataró in Catalonia.
  • A. Les Catalans
    Les Catalans is the traditional nickname for the French rugby union club USA Perpignan, reflecting its strong roots in the Catalan culture of southern France.
  • B. LaLiga Hypermotion
    LaLiga Hypermotion is Spain’s second-highest professional football league, sitting directly below LaLiga in the national league system.
  • C. RCD Mallorca
    RCD Mallorca is a Spanish professional football club based in Palma de Mallorca that competes in La Liga.
  • D. Mataró
    Mataró is a coastal city in northeastern Spain known as an important commercial and industrial center on the Mediterranean near Barcelona.
  • E. Tossa de Mar
    Tossa de Mar is a picturesque coastal town on Spain’s Costa Brava, known for its medieval walled old town, sandy beaches, and historic role as a scenic backdrop in classic cinema.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73370e7388190885b104fc883456e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69de567a7ea0819088a2fa10f8367d89 completed April 14, 2026, 3 p.m.
NEDg Description generation batch_69de5eaf3cc08190935cb6ddf2020166 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de63a902f4819089845bc6d7469c6b completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:18 p.m.