Triple

T5989518
Position Surface form Disambiguated ID Type / Status
Subject LATAM Airlines Paraguay E133309 entity
Predicate headquartersLocation P62 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: [LATAM Airlines Paraguay, headquartersLocation, Asunción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asunción
Context triple: [LATAM Airlines Paraguay, headquartersLocation, 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 stage play written by actor and playwright Jesse Eisenberg that explores themes of privilege, prejudice, and cultural misunderstanding.
  • C. Asuncion
    Asuncion is a remote volcanic island in the Northern Mariana Islands, known for its steep stratovolcano and relatively undisturbed natural environment.
  • D. Ciudad del Este
    Ciudad del Este is a major commercial city in eastern Paraguay, known as a busy border trading hub near the tri-border area with Brazil and Argentina.
  • E. Luque, Paraguay
    Luque is a city in the Central Department of Paraguay, part of the Greater Asunción metropolitan area and an important administrative and commercial center.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc76fd481908cc3f327e532a1a6 completed March 22, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1085ac1bc8190a828d3841098cc23 completed March 23, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:05 p.m.