Triple

T2167971
Position Surface form Disambiguated ID Type / Status
Subject Colonia Tabacalera E46953 entity
Predicate adjacentTo P224 FINISHED
Object Colonia San Rafael E45359 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: Colonia San Rafael | Statement: [Colonia Tabacalera, adjacentTo, Colonia San Rafael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colonia San Rafael
Context triple: [Colonia Tabacalera, adjacentTo, Colonia San Rafael]
  • A. Colonia San Rafael chosen
    Colonia San Rafael is a traditional, centrally located neighborhood in Mexico City known for its historic architecture, theaters, and cultural life.
  • B. Colonia San Cosme
    Colonia San Cosme is a traditional neighborhood in Mexico City known for its historic streets, local commerce, and proximity to the city’s central districts.
  • C. Colonia La Fama
    Colonia La Fama is a neighborhood within the Tlalpan borough of Mexico City, known for its residential character and local urban community.
  • D. Colonia San Fernando
    Colonia San Fernando is a neighborhood within the Tlalpan borough of Mexico City, known for its residential character and local urban amenities.
  • E. Colonia Buenavista
    Colonia Buenavista is a central neighborhood in Mexico City’s Cuauhtémoc borough, known for its major transit hubs, commercial activity, and proximity to key cultural and governmental institutions.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeac9d688190bfa68715e173771e completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f26334819095202544d37e6850 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.