Triple

T10489549
Position Surface form Disambiguated ID Type / Status
Subject Shabo E247378 entity
Predicate alternativeName P39 FINISHED
Object Mekeyir
Mekeyir is an alternative name for the Shabo language, a little-documented and endangered language spoken in southwestern Ethiopia.
 E869027 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: Mekeyir | Statement: [Shabo, alternativeName, Mekeyir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mekeyir
Context triple: [Shabo, alternativeName, Mekeyir]
  • A. Takelsa
    Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
  • B. Birsay
    Birsay is a coastal parish and village area on the northwest of Orkney Mainland in Scotland, known for its rich Norse history and archaeological sites.
  • C. Tarmuwa
    Tarmuwa is a local government area in northeastern Nigeria known for its predominantly rural communities within Yobe State.
  • D. Khanke
    Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
  • E. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • 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: Mekeyir
Triple: [Shabo, alternativeName, Mekeyir]
Generated description
Mekeyir is an alternative name for the Shabo language, a little-documented and endangered language spoken in southwestern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mekeyir
Target entity description: Mekeyir is an alternative name for the Shabo language, a little-documented and endangered language spoken in southwestern Ethiopia.
  • A. Takelsa
    Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
  • B. Birsay
    Birsay is a coastal parish and village area on the northwest of Orkney Mainland in Scotland, known for its rich Norse history and archaeological sites.
  • C. Tarmuwa
    Tarmuwa is a local government area in northeastern Nigeria known for its predominantly rural communities within Yobe State.
  • D. Khanke
    Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
  • E. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • 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_69d90dc44d7881908391487275b845bf completed April 10, 2026, 2:48 p.m.
NEDg Description generation batch_69d9107c75108190994939ab46aa642f completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d9154c922c81909991f87f89c083cd completed April 10, 2026, 3:20 p.m.
Created at: April 6, 2026, 12:23 p.m.