Triple

T899173
Position Surface form Disambiguated ID Type / Status
Subject Spanish-speaking world E19408 entity
Predicate hasMajorCity P316 FINISHED
Object Caracas E54898 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: Caracas | Statement: [Spanish-speaking world, hasMajorCity, Caracas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caracas
Context triple: [Spanish-speaking world, hasMajorCity, Caracas]
  • A. Caracas chosen
    Caracas is the capital and largest city of Venezuela, known as a major political, cultural, and economic center in northern South America.
  • B. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • C. Santa Marta
    Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
  • D. Ciudad Bolívar
    Ciudad Bolívar is a historic city in southeastern Venezuela known for its colonial architecture and strategic location on the banks of the Orinoco River.
  • E. Cali
    Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad4162848190aa2787b2fa3e6575 completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16f9d07c819097b9cf95d2b708f7 completed March 7, 2026, 12:15 p.m.
Created at: March 1, 2026, 7:39 p.m.