Triple

T30073440
Position Surface form Disambiguated ID Type / Status
Subject President of Somali Region E764248 entity
Predicate hasTitleInAmharic P65893 FINISHED
Object የሶማሌ ክልል ፕሬዚዳንት NE NERFINISHED

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: የሶማሌ ክልል ፕሬዚዳንት | Statement: [President of Somali Region, hasTitleInAmharic, የሶማሌ ክልል ፕሬዚዳንት]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTitleInAmharic
Context triple: [President of Somali Region, hasTitleInAmharic, የሶማሌ ክልል ፕሬዚዳንት]
  • A. hasTitleInEnglishOrthography
    Indicates that an entity has a specific title expressed using English spelling and writing conventions.
  • B. hasTitleInTransliteration
    Indicates that an entity has a specific title represented in a transliterated form from another writing system.
  • C. hasTitleInAfrikaans
    Indicates that an entity has a specific title expressed in the Afrikaans language.
  • D. hasTitleIn chosen
    Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
  • E. hasTitleInLanguage
    Indicates that an entity has a specific title expressed in a particular language.
  • F. None of above.

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_69f22472eee081909791dc372aa766e9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8cec6d48190bebfa884b2f938c0 completed May 3, 2026, 7:58 p.m.
Created at: April 29, 2026, 7:01 p.m.