Triple

T9139665
Position Surface form Disambiguated ID Type / Status
Subject Circuito Interior E219290 entity
Predicate adjacentTo P224 FINISHED
Object Colonia Roma E43029 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 Roma | Statement: [Circuito Interior, adjacentTo, Colonia Roma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colonia Roma
Context triple: [Circuito Interior, adjacentTo, Colonia Roma]
  • A. Colonia Roma chosen
    Colonia Roma is a historic and culturally vibrant neighborhood in central Mexico City known for its early 20th-century architecture, arts scene, and diverse dining and nightlife.
  • B. Colonia
    Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
  • 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 Iulia Equestris
    Colonia Iulia Equestris was a Roman colony founded by Julius Caesar on the site of modern-day Nyon in present-day Switzerland.
  • E. Colonia Nápoles
    Colonia Nápoles is a centrally located, middle- to upper-class neighborhood in Mexico City known for its residential streets, office buildings, and proximity to major landmarks and transport routes.
  • 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_69cca8f129c08190b6f053984cb7363f completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0545584e08190bda111f2c6163a4a completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:19 p.m.