Triple

T7075990
Position Surface form Disambiguated ID Type / Status
Subject Madrid Metro Line 1 E164819 entity
Predicate hasStation P35 FINISHED
Object Atocha E538622 NE FINISHED

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: Atocha | Statement: [Madrid Metro Line 1, hasStation, Atocha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atocha
Context triple: [Madrid Metro Line 1, hasStation, Atocha]
  • A. Atocha chosen
    Atocha is a central Madrid neighborhood known for its major railway station, cultural institutions, and proximity to the city’s historic and museum districts.
  • B. Aranjuez
    Aranjuez is a historic town in central Spain renowned for its royal palace, extensive gardens, and cultural heritage, and is located within the Community of Madrid.
  • C. Gernika-Lumo
    Gernika-Lumo is a historic town in the Basque Country of northern Spain, internationally known for the 1937 bombing that inspired Pablo Picasso’s famous painting "Guernica."
  • D. Medina-Sidonia
    Medina-Sidonia is a historic town in the province of Cádiz, Andalusia, Spain, known for its medieval architecture and strategic hilltop location.
  • E. Rivas-Vaciamadrid
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ce3d3c81908cbb912b256aadbf completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79468c7688190bf10433f05e77574 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:40 p.m.