Triple

T8853219
Position Surface form Disambiguated ID Type / Status
Subject Centro Sur E210687 entity
Predicate borders P224 FINISHED
Object Litoral E207848 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: Litoral | Statement: [Centro Sur, borders, Litoral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Litoral
Context triple: [Centro Sur, borders, Litoral]
  • A. Litoral chosen
    Litoral is a coastal province of Equatorial Guinea located on the mainland between Cameroon and Gabon along the Gulf of Guinea.
  • B. Costa Alegre
    Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
  • C. Litoral region
    The Litoral region is a northeastern area of Argentina along major rivers that historically served as a key economic and strategic corridor, especially during 19th-century conflicts.
  • D. Norte Grande
    Norte Grande is the arid, mineral-rich northern macroregion of Chile that encompasses much of the Atacama Desert and key mining areas.
  • E. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c55e348190957b3bbb7397e380 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09557dc81908b5690bf5c392528 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:49 p.m.