Triple

T8251978
Position Surface form Disambiguated ID Type / Status
Subject Amhara Region E192978 entity
Predicate largestCity P235 FINISHED
Object Bahir Dar E192971 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: Bahir Dar | Statement: [Amhara Region, largestCity, Bahir Dar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahir Dar
Context triple: [Amhara Region, largestCity, Bahir Dar]
  • A. Bahir Dar chosen
    Bahir Dar is a major city in northwestern Ethiopia, known for its location on the southern shore of Lake Tana and as a gateway to the Blue Nile Falls and nearby monasteries.
  • B. Senafe
    Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
  • C. Mekelle
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • D. Addis Ababa
    Addis Ababa is the capital and largest city of Ethiopia, serving as a major political and diplomatic hub in Africa that hosts numerous international organizations and institutions.
  • E. Bishoftu
    Bishoftu is a town in central Ethiopia known for its lakes and as a major military and air force center.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78ca4b0881909bb1fb550dba59e7 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd681457908190b39fa034e9ca05d5 completed April 1, 2026, 6:46 p.m.
Created at: March 30, 2026, 5:48 p.m.