Triple

T899180
Position Surface form Disambiguated ID Type / Status
Subject Spanish-speaking world E19408 entity
Predicate hasMajorCity P316 FINISHED
Object Asunción E98396 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: Asunción | Statement: [Spanish-speaking world, hasMajorCity, Asunción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asunción
Context triple: [Spanish-speaking world, hasMajorCity, Asunción]
  • A. Asunción chosen
    Asunción is the capital and largest city of Paraguay, located along the Paraguay River and serving as the country’s main political, cultural, and economic center.
  • B. Asuncion
    Asuncion is a remote volcanic island in the Northern Mariana Islands, known for its steep stratovolcano and relatively undisturbed natural environment.
  • C. Montevideo
    Montevideo is the capital and largest city of Uruguay, serving as the country’s main political, economic, and cultural center.
  • D. Santa Cruz de la Sierra
    Santa Cruz de la Sierra is Bolivia’s largest and most populous city, a major economic hub in the country’s eastern lowlands known for its rapid growth and vibrant commercial activity.
  • E. Buenos Aires
    Buenos Aires is the capital and largest city of Argentina, known for its rich European-influenced culture, tango music and dance, and vibrant urban life.
  • 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_69a7cf5a4118819086035d6e250a53cc completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:39 p.m.