Triple

T11367556
Position Surface form Disambiguated ID Type / Status
Subject Josep Batlló i Casanovas E269249 entity
Predicate familyName P18 FINISHED
Object Batlló
Batlló is a Catalan surname notably associated with industrialist Josep Batlló i Casanovas and the famous Casa Batlló in Barcelona.
E933104 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: Batlló | Statement: [Josep Batlló i Casanovas, familyName, Batlló]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batlló
Context triple: [Josep Batlló i Casanovas, familyName, Batlló]
  • A. Pedralbes
    Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
  • B. Sant Sadurní d’Anoia
    Sant Sadurní d’Anoia is a Catalan town renowned as the main center of cava (sparkling wine) production in Spain.
  • C. Banyoles
    Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
  • D. Pla d'Urgell
    Pla d'Urgell is a comarca (county) in the inland plains of Catalonia, Spain, known for its irrigated agriculture and small rural towns.
  • E. Castellolí
    Castellolí is a small municipality in the Anoia comarca of Catalonia, Spain, known for its rural setting and proximity to the Montserrat mountain range.
  • 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: Batlló
Triple: [Josep Batlló i Casanovas, familyName, Batlló]
Generated description
Batlló is a Catalan surname notably associated with industrialist Josep Batlló i Casanovas and the famous Casa Batlló in Barcelona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Batlló
Target entity description: Batlló is a Catalan surname notably associated with industrialist Josep Batlló i Casanovas and the famous Casa Batlló in Barcelona.
  • A. Pedralbes
    Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
  • B. Sant Sadurní d’Anoia
    Sant Sadurní d’Anoia is a Catalan town renowned as the main center of cava (sparkling wine) production in Spain.
  • C. Banyoles
    Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
  • D. Pla d'Urgell
    Pla d'Urgell is a comarca (county) in the inland plains of Catalonia, Spain, known for its irrigated agriculture and small rural towns.
  • E. Castellolí
    Castellolí is a small municipality in the Anoia comarca of Catalonia, Spain, known for its rural setting and proximity to the Montserrat mountain range.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea88558c8190aa18881af51a7b96 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6e72931208190b91ef4be770c00d4 completed April 21, 2026, 2:55 a.m.
NEDg Description generation batch_69e6ef8fca248190bc2fdd8457258874 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f8ec88e88190bfa21c2d06d67bd8 completed April 21, 2026, 4:11 a.m.
Created at: April 8, 2026, 9:33 p.m.