Triple

T7776089
Position Surface form Disambiguated ID Type / Status
Subject Lasta woreda E221393 entity
Predicate borders P224 FINISHED
Object Kobo woreda
Kobo woreda is an administrative district in northern Ethiopia, located in the Amhara Region.
 E693036 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: Kobo woreda | Statement: [Lasta woreda, borders, Kobo woreda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kobo woreda
Context triple: [Lasta woreda, borders, Kobo woreda]
  • A. Lasta woreda
    Lasta woreda is an administrative district in Ethiopia’s Amhara Region that includes the historic town of Lalibela, famous for its rock-hewn churches.
  • B. Hamar Weyne district
    Hamar Weyne district is one of the oldest and historically significant quarters of Mogadishu, known for its traditional architecture, bustling markets, and coastal location along the Indian Ocean.
  • C. Buhera District
    Buhera District is an administrative district in eastern Zimbabwe known for its rural communities and agricultural activities.
  • D. Gamo-Gofa-Dawro
    Gamo-Gofa-Dawro is a cluster of closely related Omotic languages spoken primarily in southwestern Ethiopia.
  • E. Kiti District
    Kiti District is an administrative district located within Daykundi Province in central Afghanistan.
  • 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: Kobo woreda
Triple: [Lasta woreda, borders, Kobo woreda]
Generated description
Kobo woreda is an administrative district in northern Ethiopia, located in the Amhara Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kobo woreda
Target entity description: Kobo woreda is an administrative district in northern Ethiopia, located in the Amhara Region.
  • A. Lasta woreda
    Lasta woreda is an administrative district in Ethiopia’s Amhara Region that includes the historic town of Lalibela, famous for its rock-hewn churches.
  • B. Hamar Weyne district
    Hamar Weyne district is one of the oldest and historically significant quarters of Mogadishu, known for its traditional architecture, bustling markets, and coastal location along the Indian Ocean.
  • C. Buhera District
    Buhera District is an administrative district in eastern Zimbabwe known for its rural communities and agricultural activities.
  • D. Gamo-Gofa-Dawro
    Gamo-Gofa-Dawro is a cluster of closely related Omotic languages spoken primarily in southwestern Ethiopia.
  • E. Kiti District
    Kiti District is an administrative district located within Daykundi Province in central Afghanistan.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d005808190ac14c8d716421bdb completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf58a86548190b870417692e4b654 completed March 30, 2026, 10:13 p.m.
NEDg Description generation batch_69caf81d934881908fa41ebd43f3b2e2 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69caf9f86d808190880f7bb2fc8d4fe3 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:08 p.m.