Triple

T7537718
Position Surface form Disambiguated ID Type / Status
Subject Salvadoran diaspora E178190 entity
Predicate maintainsTieWith P26922 FINISHED
Object El Salvador E1657 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: El Salvador | Statement: [Salvadoran diaspora, maintainsTieWith, El Salvador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Salvador
Context triple: [Salvadoran diaspora, maintainsTieWith, El Salvador]
  • A. El Salvador chosen
    El Salvador is a Central American country known for being the smallest and most densely populated nation in the region, with a history of civil conflict and a recent push toward economic modernization and cryptocurrency adoption.
  • B. Honduras
    Honduras is a Central American country known for its mountainous terrain, Caribbean and Pacific coastlines, and rich Mayan and colonial heritage.
  • C. Nicaragua
    Nicaragua is a Central American country known for its volcanic landscapes, large lakes, and colonial-era architecture.
  • D. Guatemala
    Guatemala is a Central American country known for its Mayan heritage, volcanic landscapes, and vibrant indigenous cultures.
  • E. Costa Rica
    Costa Rica is a Central American country renowned for its political stability, rich biodiversity, and strong environmental conservation efforts.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8710400819088e430c8c550577e completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac86982c8190a808ba1b98314829 completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:48 p.m.