Triple

T5316200
Position Surface form Disambiguated ID Type / Status
Subject Wolaytta E119153 entity
Predicate alternativeName P39 FINISHED
Object Ometo
Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
 E511077 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: Ometo | Statement: [Wolaytta, alternativeName, Ometo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ometo
Context triple: [Wolaytta, alternativeName, Ometo]
  • A. Soatá
    Soatá is a small town and municipality in the Boyacá Department of Colombia, known for its dry canyon landscapes and production of regional fruits.
  • B. Tewai
    Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • C. Coquihani
    Coquihani is a traditional Zapotec deity associated with the indigenous religious beliefs and cosmology of the Zapotec people of Oaxaca, Mexico.
  • D. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • E. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • 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: Ometo
Triple: [Wolaytta, alternativeName, Ometo]
Generated description
Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ometo
Target entity description: Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
  • A. Soatá
    Soatá is a small town and municipality in the Boyacá Department of Colombia, known for its dry canyon landscapes and production of regional fruits.
  • B. Tewai
    Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • C. Coquihani
    Coquihani is a traditional Zapotec deity associated with the indigenous religious beliefs and cosmology of the Zapotec people of Oaxaca, Mexico.
  • D. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • E. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854fd07c8190b4f1c3c8e618c308 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf110e89548190a5eb0bad6ab0483b completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf1263876c8190a278f06ad8ac816a completed March 21, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69bf12c123008190a0d3f3c23af59819 completed March 21, 2026, 9:50 p.m.
Created at: March 20, 2026, 1:54 p.m.