Triple

T16955904
Position Surface form Disambiguated ID Type / Status
Subject Ruta 1 E411299 entity
Predicate passesThrough P225 FINISHED
Object Liberia E411825 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: Liberia | Statement: [Ruta 1, passesThrough, Liberia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liberia
Context triple: [Ruta 1, passesThrough, Liberia]
  • A. Liberia
    Liberia is a West African nation founded by formerly enslaved people from the United States, known for being Africa’s first modern republic and maintaining close historical ties with the U.S.
  • B. Liberia chosen
    Liberia is a city in northwestern Costa Rica that serves as the capital of Guanacaste Province and a major gateway to Pacific beaches and nearby national parks.
  • C. Sierra Leone
    Sierra Leone is a West African nation on the Atlantic coast, known for its diamond resources, diverse cultures, and history as a center for freed slaves.
  • D. La Guinea
    La Guinea is a small settlement located on Isla del Rey in Spain’s Balearic Islands.
  • E. Republic of Guinea
    The Republic of Guinea is a West African country rich in natural resources, particularly bauxite, with a predominantly Muslim population and a history of French colonial rule.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01bb700819082a441c124be3cb6 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4666f14819095fc3bcf5e459b61 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.