Triple

T2346709
Position Surface form Disambiguated ID Type / Status
Subject Yap State E45147 entity
Predicate largestSettlement P163 FINISHED
Object Colonia E282789 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 | Statement: [Yap State, largestSettlement, Colonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colonia
Context triple: [Yap State, largestSettlement, Colonia]
  • A. Colonia chosen
    Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
  • B. Colonia Doctores
    Colonia Doctores is a traditional central neighborhood in Mexico City known for its historic streets, mixed residential and commercial character, and proximity to major civic and cultural institutions.
  • C. Colonia Maza
    Colonia Maza is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
  • D. Colonia Narvarte
    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.
  • E. Colonia Tránsito
    Colonia Tránsito is a neighborhood in central Mexico City located within the Cuauhtémoc borough, known for its urban residential character and proximity to the historic downtown area.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6c9396081908abb2b0a229bb046 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98a0ce708190a89b68e8e9053f43 completed March 10, 2026, 4:05 a.m.
Created at: March 4, 2026, 7:52 p.m.