Triple

T4581859
Position Surface form Disambiguated ID Type / Status
Subject Serkalem Fasil E101872 entity
Predicate workLocation P7 FINISHED
Object Addis Ababa E15630 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: Addis Ababa | Statement: [Serkalem Fasil, workLocation, Addis Ababa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Addis Ababa
Context triple: [Serkalem Fasil, workLocation, Addis Ababa]
  • A. Addis Ababa chosen
    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.
  • B. Bahir Dar
    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.
  • C. Asmara
    Asmara is the largest city of Eritrea, known for its well-preserved Italian colonial modernist architecture and status as a UNESCO World Heritage Site.
  • D. Mekelle
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • E. Massawa
    Massawa is a historic Eritrean port city on the Red Sea, known for its strategic maritime location and Ottoman- and Italian-influenced architecture.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd590116e88190b8495b2a78cf3fb6 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde09015c48190b4f992f3f95023cf completed March 21, 2026, 12:04 a.m.
Created at: March 20, 2026, 1:10 p.m.