Triple

T2286369
Position Surface form Disambiguated ID Type / Status
Subject Tigray Region E51399 entity
Predicate containsCity P294 FINISHED
Object Mekelle E256050 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: Mekelle | Statement: [Tigray Region, containsCity, Mekelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mekelle
Context triple: [Tigray Region, containsCity, Mekelle]
  • A. Mekelle chosen
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • B. Tantu
    Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
  • C. 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.
  • D. Kassala
    Kassala is a city in eastern Sudan near the Eritrean border, known as a regional trade center and for its striking granite hills and cultural diversity.
  • E. Dongola
    Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the Nile.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc24730208190af8a5cf443d334f7 completed March 7, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae96080548819098ae6c5ab73036f2 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:48 p.m.