Triple

T9226367
Position Surface form Disambiguated ID Type / Status
Subject Plaza Etiopía E221691 entity
Predicate locatedIn P40 FINISHED
Object Colonia Narvarte E221690 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 Narvarte | Statement: [Plaza Etiopía, locatedIn, Colonia Narvarte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colonia Narvarte
Context triple: [Plaza Etiopía, locatedIn, Colonia Narvarte]
  • A. Colonia Narvarte chosen
    Colonia Narvarte is a centrally located residential and commercial neighborhood in Mexico City known for its mid-20th-century architecture, tree-lined streets, and vibrant urban life.
  • B. Colonia Maza
    Colonia Maza is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
  • C. Colonia
    Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
  • D. Colonia
    Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
  • E. Colonia Atlampa
    Colonia Atlampa is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9ecef48190b8aa0e316d07cec7 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d100b8f80c8190bef93de787227a51 completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 7:28 p.m.