Triple

T6496483
Position Surface form Disambiguated ID Type / Status
Subject Line 5 (Madrid Metro) E148172 entity
Predicate hasStation P35 FINISHED
Object Alameda de Osuna E581235 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: Alameda de Osuna | Statement: [Line 5 (Madrid Metro), hasStation, Alameda de Osuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alameda de Osuna
Context triple: [Line 5 (Madrid Metro), hasStation, Alameda de Osuna]
  • A. Alameda de Santa María la Ribera
    Alameda de Santa María la Ribera is a historic public park in Mexico City known for its central Moorish Kiosk and role as a cultural and recreational hub of the Santa María la Ribera neighborhood.
  • B. Collado Villalba
    Collado Villalba is a commuter town and municipality in central Spain, located in the Sierra de Guadarrama northwest of Madrid.
  • C. Fuencarral-El Pardo chosen
    Fuencarral-El Pardo is a large northern district of Madrid, Spain, known for combining residential neighborhoods with extensive natural areas such as Monte de El Pardo.
  • D. El Realejo
    El Realejo is a historic coastal town and former colonial port in northwestern Nicaragua.
  • E. Las Rozas de Madrid
    Las Rozas de Madrid is a suburban municipality northwest of central Madrid, known for its residential areas, business parks, and large outlet shopping centers.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06aba8f04819080b291baf79c42d5 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c66386d48881908151bdf12a3d85ad completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:53 p.m.