Triple

T20525619
Position Surface form Disambiguated ID Type / Status
Subject Francisco Rabal E503925 entity
Predicate burialPlace P196 FINISHED
Object Águilas, Murcia, Spain NE NERFINISHED

How this triple was built (2 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: Águilas, Murcia, Spain | Statement: [Francisco Rabal, burialPlace, Águilas, Murcia, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Águilas, Murcia, Spain
Context triple: [Francisco Rabal, burialPlace, Águilas, Murcia, Spain]
  • A. Águilas, Murcia, Spain chosen
    Águilas, Murcia, Spain is a coastal town in southeastern Spain known for its beaches, fishing port, and historic links to Mediterranean maritime trade.
  • B. Murcia, Spain
    Murcia, Spain is a historic city in southeastern Spain known for its baroque cathedral, agricultural production, and role as the capital of the Region of Murcia.
  • C. Malaga, Spain
    Malaga, Spain is a historic port city on Spain’s southern Costa del Sol, known for its Mediterranean beaches, rich cultural heritage, and as the birthplace of Pablo Picasso.
  • D. El Masnou, Spain
    El Masnou, Spain is a coastal town in the province of Barcelona, Catalonia, known for its Mediterranean beaches and marina.
  • E. Martorell, Spain
    Martorell, Spain is a town in Catalonia best known as a major automotive manufacturing hub and home to SEAT’s main production plant.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06504b48190b3f1defdc23a47d5 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.