Triple

T9138154
Position Surface form Disambiguated ID Type / Status
Subject Eje Central Lázaro Cárdenas 2 E219255 entity
Predicate nearTransportHub P6208 FINISHED
Object Metro San Juan de Letrán E474726 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: Metro San Juan de Letrán | Statement: [Eje Central Lázaro Cárdenas 2, nearTransportHub, Metro San Juan de Letrán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro San Juan de Letrán
Context triple: [Eje Central Lázaro Cárdenas 2, nearTransportHub, Metro San Juan de Letrán]
  • A. Metro Eugenia
    Metro Eugenia is a Mexico City Metro station serving the Eugenia area along Avenida División del Norte in the Benito Juárez borough.
  • B. San Juan de Letrán chosen
    San Juan de Letrán is a Mexico City Metro station located in the historic center, serving as a key stop on the system’s Line 8.
  • C. Metropolitano
    Metropolitano is a former operator of the San Martín Line, a railway service in Argentina.
  • D. 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.
  • E. Arganda del Rey
    Arganda del Rey is a municipality in central Spain known for its wine-making tradition and location within the metropolitan area of Madrid.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8efe3b88190a55a15827e6817a4 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0480458348190b0b87f7a66d85b87 completed April 3, 2026, 11:06 p.m.
Created at: March 30, 2026, 7:19 p.m.