Triple

T393409
Position Surface form Disambiguated ID Type / Status
Subject Carlos Ruiz E8928 entity
Predicate placeOfBirth P1 FINISHED
Object Guatemala City E16269 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: Guatemala City | Statement: [Carlos Ruiz, placeOfBirth, Guatemala City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guatemala City
Context triple: [Carlos Ruiz, placeOfBirth, Guatemala City]
  • A. Guatemala City chosen
    Guatemala City is the capital and largest city of Guatemala, serving as the country’s political, economic, and cultural center.
  • B. San Salvador
    San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
  • C. Tegucigalpa
    Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
  • D. Belize City
    Belize City is the largest city and former capital of Belize, serving as the country's main commercial and cultural hub on the Caribbean coast.
  • E. Chetumal
    Chetumal is a coastal city in southeastern Mexico that serves as the capital of the state of Quintana Roo and a key gateway to the Caribbean and Belize.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec7637c08190b695ec640edbf6c2 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a405f93f448190aa20c8a356a24b89 completed March 1, 2026, 9:25 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.