Triple

T8710478
Position Surface form Disambiguated ID Type / Status
Subject Mengistu Haile Mariam E206761 entity
Predicate placeOfBirth P1 FINISHED
Object Jimma
Jimma is a city in southwestern Ethiopia known as a major center of coffee production and regional trade.
E753691 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: Jimma | Statement: [Mengistu Haile Mariam, placeOfBirth, Jimma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimma
Context triple: [Mengistu Haile Mariam, placeOfBirth, Jimma]
  • A. Jhelumi
    Jhelumi is a regional dialect of the Potohari language spoken primarily in and around the Jhelum area of Pakistan.
  • B. Gujba
    Gujba is a local government area and town in northeastern Nigeria, known for its predominantly rural communities and location within Yobe State.
  • C. Harar Jugol
    Harar Jugol is the historic walled city of Harar in eastern Ethiopia, renowned for its dense maze of alleyways, rich Islamic heritage, and distinctive traditional architecture.
  • D. Banawali
    Banawali is an archaeological site in Haryana, India, known for its well-preserved remains of the Indus Valley Civilization, including planned settlements and distinctive Harappan artifacts.
  • E. Jamma'in
    Jamma'in is a Palestinian town in the central West Bank known historically for its olive groves and traditional stone masonry.
  • 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: Jimma
Triple: [Mengistu Haile Mariam, placeOfBirth, Jimma]
Generated description
Jimma is a city in southwestern Ethiopia known as a major center of coffee production and regional trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jimma
Target entity description: Jimma is a city in southwestern Ethiopia known as a major center of coffee production and regional trade.
  • A. Jhelumi
    Jhelumi is a regional dialect of the Potohari language spoken primarily in and around the Jhelum area of Pakistan.
  • B. Gujba
    Gujba is a local government area and town in northeastern Nigeria, known for its predominantly rural communities and location within Yobe State.
  • C. Harar Jugol
    Harar Jugol is the historic walled city of Harar in eastern Ethiopia, renowned for its dense maze of alleyways, rich Islamic heritage, and distinctive traditional architecture.
  • D. Banawali
    Banawali is an archaeological site in Haryana, India, known for its well-preserved remains of the Indus Valley Civilization, including planned settlements and distinctive Harappan artifacts.
  • E. Jamma'in
    Jamma'in is a Palestinian town in the central West Bank known historically for its olive groves and traditional stone masonry.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c3034708190b895eaf890d62198 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28c174008190bc2d43ca613e9a9e completed April 3, 2026, 2:41 a.m.
NEDg Description generation batch_69cf2bd14c3c8190b43840ee57cca22c completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cb3c4308190971fb3d25064f205 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:35 p.m.