Triple

T14200158
Position Surface form Disambiguated ID Type / Status
Subject Ismaïl Omar Guelleh E351942 entity
Predicate placeOfBirth P1 FINISHED
Object Dire Dawa E599544 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: Dire Dawa | Statement: [Ismaïl Omar Guelleh, placeOfBirth, Dire Dawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dire Dawa
Context triple: [Ismaïl Omar Guelleh, placeOfBirth, Dire Dawa]
  • A. Dire Dawa chosen
    Dire Dawa is one of Ethiopia’s largest and most important cities, serving as a major commercial and transportation hub in the eastern part of the country.
  • B. Ras Dejen
    Ras Dejen is the highest mountain in Ethiopia, located in the Simien Mountains and known for its dramatic highland scenery.
  • C. Baalu Girma
    Baalu Girma was a prominent Ethiopian novelist and journalist known for his politically charged works and mysterious disappearance in the 1980s.
  • D. Segeju
    Segeju is a Bantu language of the Sabaki group spoken by the Segeju people in parts of coastal Kenya and Tanzania.
  • E. Girma
    Girma is a surname most notably borne by Naomi Girma, an American professional soccer player and defender for the U.S. women’s national team.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f472548190a1a7edc40526eac3 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194f13688190af7ef5ceb92a73ff completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.