Triple

T23050150
Position Surface form Disambiguated ID Type / Status
Subject Andreu Alfaro E573986 entity
Predicate notableWork P4 FINISHED
Object La rella
La rella is a modern sculptural work by Spanish artist Andreu Alfaro, known for its abstract, geometric forms and exploration of light and space.
 E1568904 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: La rella | Statement: [Andreu Alfaro, notableWork, La rella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La rella
Context triple: [Andreu Alfaro, notableWork, La rella]
  • A. Las Retamas
    Las Retamas is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the Alcorcón area in the Madrid metropolitan region.
  • B. El Catllar
    El Catllar is a municipality in the Tarragonès region of Catalonia, Spain, known for its historic castle and Mediterranean rural surroundings.
  • C. La Rucilla
    La Rucilla is a mountain peak located in Spain’s Cordillera Central range, known for its rugged terrain and scenic hiking routes.
  • D. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • E. La Besurta
    La Besurta is a high-mountain access point and trailhead in the Spanish Pyrenees, commonly used as a starting spot for hikes and ascents in the Benasque valley area.
  • 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: La rella
Triple: [Andreu Alfaro, notableWork, La rella]
Generated description
La rella is a modern sculptural work by Spanish artist Andreu Alfaro, known for its abstract, geometric forms and exploration of light and space.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La rella
Target entity description: La rella is a modern sculptural work by Spanish artist Andreu Alfaro, known for its abstract, geometric forms and exploration of light and space.
  • A. Las Retamas
    Las Retamas is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the Alcorcón area in the Madrid metropolitan region.
  • B. El Catllar
    El Catllar is a municipality in the Tarragonès region of Catalonia, Spain, known for its historic castle and Mediterranean rural surroundings.
  • C. La Rucilla
    La Rucilla is a mountain peak located in Spain’s Cordillera Central range, known for its rugged terrain and scenic hiking routes.
  • D. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • E. La Besurta
    La Besurta is a high-mountain access point and trailhead in the Spanish Pyrenees, commonly used as a starting spot for hikes and ascents in the Benasque valley area.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867c443081909588262bc90748af completed April 29, 2026, 4:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ade221081909d25033a5edc73ca completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0f3fe0d081908b86806ec2399eca completed May 19, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0fd3f8608190879a222a697716bd completed May 19, 2026, 7:23 a.m.
Created at: April 17, 2026, 3:54 p.m.