Triple

T10726859
Position Surface form Disambiguated ID Type / Status
Subject Wukro E252970 entity
Predicate roadConnection P385 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: [Wukro, roadConnection, Mekelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mekelle
Context triple: [Wukro, roadConnection, Mekelle]
  • A. Mekelle chosen
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • B. Senafe
    Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
  • C. Massawa
    Massawa is a historic Eritrean port city on the Red Sea, known for its strategic maritime location and Ottoman- and Italian-influenced architecture.
  • D. Tantu
    Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
  • E. Gafat
    Gafat is an extinct South Ethio-Semitic language once spoken in parts of Ethiopia.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc713f081909ba1d1b986c1fe5c completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5568489c81908a902867feffdb4f completed April 14, 2026, 2:55 p.m.
Created at: April 8, 2026, 9:14 p.m.