Triple

T19321055
Position Surface form Disambiguated ID Type / Status
Subject Pedro del Cura E483223 entity
Predicate workLocation P7 FINISHED
Object Rivas-Vaciamadrid 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: Rivas-Vaciamadrid | Statement: [Pedro del Cura, workLocation, Rivas-Vaciamadrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rivas-Vaciamadrid
Context triple: [Pedro del Cura, workLocation, Rivas-Vaciamadrid]
  • A. Rivas-Vaciamadrid chosen
    Rivas-Vaciamadrid is a rapidly growing suburban municipality in central Spain, located southeast of Madrid and known for its residential developments and proximity to natural areas like the Southeast Regional Park.
  • B. Fuenlabrada
    Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
  • C. Leganés
    Leganés is a major suburban city in central Spain, located just southwest of Madrid and known for its residential character, industry, and football club CD Leganés.
  • D. Alcorcón
    Alcorcón is a suburban city in central Spain that forms part of the metropolitan area of Madrid.
  • E. Vallecas
    Vallecas is a district in the southeast of Madrid, Spain, known for its working-class roots, strong local identity, and vibrant community life.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d88951081909f7ce6e0610c7258 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.