Triple

T9447135
Position Surface form Disambiguated ID Type / Status
Subject Calle Colima E227791 entity
Predicate near P350 FINISHED
Object Calle Orizaba E231230 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: Calle Orizaba | Statement: [Calle Colima, near, Calle Orizaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calle Orizaba
Context triple: [Calle Colima, near, Calle Orizaba]
  • A. Calle Orizaba chosen
    Calle Orizaba is a notable thoroughfare in Mexico City’s Colonia Roma neighborhood, known for its historic architecture, cafes, and vibrant urban atmosphere.
  • B. Calle Colima
    Calle Colima is a notable street in Mexico City’s Colonia Roma neighborhood, known for its historic architecture, trendy restaurants, galleries, and boutiques.
  • C. Calle Ramón Corona
    Calle Ramón Corona is a central street in Guadalajara, Jalisco, known for hosting important government buildings and historic landmarks.
  • D. Calle San Jacinto
    Calle San Jacinto is a main commercial and pedestrian thoroughfare in Seville’s historic Triana district, known for its shops, bars, and local atmosphere.
  • E. Calle Montera
    Calle Montera is a well-known pedestrian shopping street in central Madrid, Spain, linking Puerta del Sol with the Gran Vía and lined with stores, cafes, and historic buildings.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f35394c8190aa77528dabd6139c completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6f69ad0448190a2f472555384f0be completed April 9, 2026, 12:45 a.m.
Created at: March 30, 2026, 7:51 p.m.