Triple

T4917359
Position Surface form Disambiguated ID Type / Status
Subject Tepanec War E110380 entity
Predicate hasParticipant P149 FINISHED
Object Coyoacan E6623 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: Coyoacan | Statement: [Tepanec War, hasParticipant, Coyoacan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coyoacan
Context triple: [Tepanec War, hasParticipant, Coyoacan]
  • A. Coyoacán chosen
    Coyoacán is a historic and culturally rich borough in southern Mexico City, known for its colonial architecture, cobblestone streets, and artistic heritage.
  • B. Mixcoac
    Mixcoac is a historic neighborhood in Mexico City known for its colonial-era architecture, traditional plazas, and cultural significance within the urban fabric of the capital.
  • C. San Miguel Chapultepec
    San Miguel Chapultepec is a traditional, centrally located neighborhood in Mexico City known for its residential character, cultural venues, and proximity to Chapultepec Park.
  • D. Capulhuac
    Capulhuac is a municipality in the State of Mexico known for its traditional chorizo production and proximity to Toluca.
  • E. Tláhuac
    Tláhuac is a largely semi-rural borough in the southeastern part of Mexico City, known for its chinampas (traditional canal-based agriculture) and rapid urbanization.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa760448190946401b4b21ea8b7 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6ff19f508190902b77b9ca1e5ab6 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.