Triple

T9437753
Position Surface form Disambiguated ID Type / Status
Subject Awash River E227557 entity
Predicate majorCityOnRiver P316 FINISHED
Object Nazret
Nazret, also known as Adama, is a major city in central Ethiopia that serves as an important commercial and transportation hub.
E799779 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: Nazret | Statement: [Awash River, majorCityOnRiver, Nazret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nazret
Context triple: [Awash River, majorCityOnRiver, Nazret]
  • A. Narjis
    Narjis is revered in Shia Islam as the mother of Muhammad al-Mahdi, the twelfth and final Imam.
  • B. Juwayriya
    Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Zinetula
    Zinetula is a masculine given name most notably borne by Russian ice hockey coach and former player Zinetula Bilyaletdinov.
  • E. Zubeidaa
    Zubeidaa is a 2001 Indian biographical drama film directed by Shyam Benegal, known for its portrayal of a free-spirited actress who becomes entangled in royal politics and personal tragedy.
  • 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: Nazret
Triple: [Awash River, majorCityOnRiver, Nazret]
Generated description
Nazret, also known as Adama, is a major city in central Ethiopia that serves as an important commercial and transportation hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nazret
Target entity description: Nazret, also known as Adama, is a major city in central Ethiopia that serves as an important commercial and transportation hub.
  • A. Narjis
    Narjis is revered in Shia Islam as the mother of Muhammad al-Mahdi, the twelfth and final Imam.
  • B. Juwayriya
    Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Zinetula
    Zinetula is a masculine given name most notably borne by Russian ice hockey coach and former player Zinetula Bilyaletdinov.
  • E. Zubeidaa
    Zubeidaa is a 2001 Indian biographical drama film directed by Shyam Benegal, known for its portrayal of a free-spirited actress who becomes entangled in royal politics and personal tragedy.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7edff5e881909b72976e8909ba4b completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11053d8008190a29575149d2e027f completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111a770c881909a2902d36cd7913c completed April 4, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69d112634fb48190b4c7e9d997d27928 completed April 4, 2026, 1:30 p.m.
Created at: March 30, 2026, 7:50 p.m.