Triple

T10489548
Position Surface form Disambiguated ID Type / Status
Subject Shabo E247378 entity
Predicate alternativeName P39 FINISHED
Object Mekeyer
Mekeyer is an alternative name for the Shabo language, a highly endangered and poorly documented language spoken in southwestern Ethiopia.
E867085 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: Mekeyer | Statement: [Shabo, alternativeName, Mekeyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mekeyer
Context triple: [Shabo, alternativeName, Mekeyer]
  • A. Thabeikkyin
    Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
  • B. Moulamein
    Moulamein is a small rural town in the Riverina region of New South Wales, Australia, known for its historic buildings and riverside setting.
  • C. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • D. Shwebo
    Shwebo is a historic city in central Myanmar best known as the birthplace and early royal seat of King Alaungpaya, founder of the Konbaung Dynasty.
  • E. Myittha
    Myittha is a town located in Myanmar’s central Mandalay Region.
  • 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: Mekeyer
Triple: [Shabo, alternativeName, Mekeyer]
Generated description
Mekeyer is an alternative name for the Shabo language, a highly endangered and poorly documented language spoken in southwestern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mekeyer
Target entity description: Mekeyer is an alternative name for the Shabo language, a highly endangered and poorly documented language spoken in southwestern Ethiopia.
  • A. Thabeikkyin
    Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
  • B. Moulamein
    Moulamein is a small rural town in the Riverina region of New South Wales, Australia, known for its historic buildings and riverside setting.
  • C. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • D. Shwebo
    Shwebo is a historic city in central Myanmar best known as the birthplace and early royal seat of King Alaungpaya, founder of the Konbaung Dynasty.
  • E. Myittha
    Myittha is a town located in Myanmar’s central Mandalay Region.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901e1ecf88190acd24a0e20462cb9 completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:23 p.m.