Triple

T10559440
Position Surface form Disambiguated ID Type / Status
Subject Afar Region E249175 entity
Predicate capital P234 FINISHED
Object Semera
Semera is a planned town in northeastern Ethiopia that serves as the administrative and economic center of the Afar Region.
 E870586 NE FINISHED

How this triple was built (4 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: Semera | Statement: [Afar Region, capital, Semera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Semera
Context triple: [Afar Region, capital, Semera]
  • A. Serabi
    Serabi is a traditional Indonesian pancake-like cake made from rice flour and coconut milk, often served with sweet toppings or syrup.
  • B. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • C. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • D. Salora
    Salora was a prominent Finnish electronics manufacturer best known for producing televisions and radios, and it played a key role in the industrial history of Salo, Finland.
  • E. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Semera
Triple: [Afar Region, capital, Semera]
Generated description
Semera is a planned town in northeastern Ethiopia that serves as the administrative and economic center of the Afar Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Semera
Target entity description: Semera is a planned town in northeastern Ethiopia that serves as the administrative and economic center of the Afar Region.
  • A. Serabi
    Serabi is a traditional Indonesian pancake-like cake made from rice flour and coconut milk, often served with sweet toppings or syrup.
  • B. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • C. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • D. Salora
    Salora was a prominent Finnish electronics manufacturer best known for producing televisions and radios, and it played a key role in the industrial history of Salo, Finland.
  • E. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • F. None of above. chosen

Provenance (5 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5271e65688190bcf7931373d87f94 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93486c7288190a2ccb822fc968919 completed April 10, 2026, 5:33 p.m.
NEDg Description generation batch_69d938c979788190b11b02748ed44153 completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d9398b63f08190910dd838ad11de6e completed April 10, 2026, 5:55 p.m.
Created at: April 6, 2026, 12:35 p.m.