Triple

T3968243
Position Surface form Disambiguated ID Type / Status
Subject Asmara E92266 entity
Predicate currencyUsed P188 FINISHED
Object Eritrean nakfa E109216 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: Eritrean nakfa | Statement: [Asmara, currencyUsed, Eritrean nakfa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eritrean nakfa
Context triple: [Asmara, currencyUsed, Eritrean nakfa]
  • A. Eritrean nakfa chosen
    The Eritrean nakfa is the official national currency of Eritrea, introduced after the country’s independence to replace the Ethiopian birr.
  • B. Central Eritrea
    Central Eritrea is an administrative region of Eritrea that includes the capital city Asmara and serves as a political and cultural hub of the country.
  • C. Eritrea
    Eritrea is a country in the Horn of Africa known for its Red Sea coastline, diverse ethnic groups, and complex political history since gaining independence from Ethiopia in 1993.
  • D. northern Eritrea
    Northern Eritrea is the region of Eritrea that encompasses part of the arid Nubian Desert along the southern Red Sea coast in northeastern Africa.
  • E. Hirshabelle
    Hirshabelle is a federal member state in central Somalia formed from parts of the Hiiraan and Middle Shabelle regions.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef978a14c8190a7982a2e4489b6ea completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533c189a88190b3a81c63621b98ac completed March 14, 2026, 10:09 a.m.
Created at: March 9, 2026, 3:32 p.m.