Triple

T245794
Position Surface form Disambiguated ID Type / Status
Subject Algeria E5033 entity
Predicate borderingCountry P4999 FINISHED
Object Mauritania E12692 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: Mauritania | Statement: [Algeria, borderingCountry, Mauritania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauritania
Context triple: [Algeria, borderingCountry, Mauritania]
  • A. Mauritania chosen
    Mauritania is a Northwest African country on the Atlantic coast, known for its vast Saharan landscapes, mixed Arab-Berber and Sub-Saharan cultures, and significant iron ore resources.
  • B. Mali
    Mali is a landlocked West African country known for its historic trading cities like Timbuktu, rich Sahelian culture, and significant role in the ancient Mali Empire.
  • C. Senegal
    Senegal is a West African country on the Atlantic coast known for its vibrant culture, historic role in transatlantic trade, and diverse coastal and Sahelian landscapes.
  • D. The Gambia
    The Gambia is a small West African country centered around the Gambia River, known for its diverse ecosystems, colonial history, and tourism-focused economy.
  • E. Morocco
    Morocco is a North African country known for its rich blend of Arab, Berber, and European cultural influences, historic cities like Marrakech and Fez, and diverse landscapes ranging from Atlantic coastlines to the Atlas Mountains and Sahara Desert.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a260c592cc8190bc642fcd248a1f1b completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a4d03b948c8190b9b6f8e86c3249e8 completed March 1, 2026, 11:48 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.