Triple

T11058676
Position Surface form Disambiguated ID Type / Status
Subject L1-SL E261446 entity
Predicate identifies P310 FINISHED
Object San Lázaro E46007 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: San Lázaro | Statement: [L1-SL, identifies, San Lázaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Lázaro
Context triple: [L1-SL, identifies, San Lázaro]
  • A. San Lázaro chosen
    San Lázaro is a major transit hub and neighborhood in Mexico City, known for its metro and Metrobús connections and proximity to the federal legislative complex.
  • B. San Pedro Mártir
    San Pedro Mártir is a neighborhood within Mexico City’s Tlalpan borough, known for its semi-rural character and location along the southern edge of the metropolis.
  • C. San Juan Nepomuceno
    San Juan Nepomuceno is a town and municipality in northern Colombia known for its agricultural economy and location within the Caribbean region.
  • D. San Miguel el Grande
    San Miguel el Grande is a historic colonial-era town in central Mexico, now known as San Miguel de Allende, renowned for its well-preserved architecture and cultural heritage.
  • E. San Antonio Abad
    San Antonio Abad is a Mexico City Metro station on Line 2 serving passengers in the central-southern area of the city.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a4f3f88190a29710f64cef9d25 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c87ab0308190a6a6ada1708f0ec2 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.