Triple

T22295936
Position Surface form Disambiguated ID Type / Status
Subject Calle de Milaneses E551120 entity
Predicate hasName P744 FINISHED
Object Calle de Milaneses 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: Calle de Milaneses | Statement: [Calle de Milaneses, hasName, Calle de Milaneses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calle de Milaneses
Context triple: [Calle de Milaneses, hasName, Calle de Milaneses]
  • A. Calle de Milaneses chosen
    Calle de Milaneses is a small historic street in central Madrid, Spain, located just off Calle Mayor near the Plaza Mayor.
  • B. Calle Bories
    Calle Bories is a principal commercial and historic street in Punta Arenas, Chile, known for its shops, restaurants, and early 20th-century architecture.
  • C. Calle del Codo
    Calle del Codo is a narrow, historic street in central Madrid’s old town, known for its characteristic bend and proximity to key medieval landmarks.
  • D. Calle de la Sierpe
    Calle de la Sierpe is a vibrant, mural-lined street in Cartagena’s historic Getsemaní district, known for its colorful houses, street art, and lively local atmosphere.
  • E. Calle Hamburgo
    Calle Hamburgo is a prominent thoroughfare in Mexico City’s Zona Rosa district, known for its shops, restaurants, nightlife, and central location.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1571fe76c8190a40b3679802a5475 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.