Triple

T10726850
Position Surface form Disambiguated ID Type / Status
Subject Wukro E252970 entity
Predicate hasNameInLanguage P15 FINISHED
Object Wukro (English)
Wukro is a town in the Tigray Region of northern Ethiopia, known as a local commercial center and gateway to nearby rock-hewn churches.
E883127 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: Wukro (English) | Statement: [Wukro, hasNameInLanguage, Wukro (English)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wukro (English)
Context triple: [Wukro, hasNameInLanguage, Wukro (English)]
  • A. Washukanni
    Washukanni was the ancient and still-unlocated royal city that served as the political and administrative center of the Hurrian kingdom of Mitanni in northern Mesopotamia.
  • B. Basa Ugi
    Basa Ugi is the native name for the Buginese language spoken by the Bugis people of South Sulawesi, Indonesia.
  • C. Wark
    Wark is a given name used by Jacob Wark Griffith, likely serving as his middle or familiar name.
  • D. Wakool
    Wakool is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural activities and proximity to the Wakool River.
  • E. Wokolo
    Wokolo is the largest known impact crater on Umbriel, one of Uranus’s major moons.
  • 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: Wukro (English)
Triple: [Wukro, hasNameInLanguage, Wukro (English)]
Generated description
Wukro is a town in the Tigray Region of northern Ethiopia, known as a local commercial center and gateway to nearby rock-hewn churches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wukro (English)
Target entity description: Wukro is a town in the Tigray Region of northern Ethiopia, known as a local commercial center and gateway to nearby rock-hewn churches.
  • A. Washukanni
    Washukanni was the ancient and still-unlocated royal city that served as the political and administrative center of the Hurrian kingdom of Mitanni in northern Mesopotamia.
  • B. Basa Ugi
    Basa Ugi is the native name for the Buginese language spoken by the Bugis people of South Sulawesi, Indonesia.
  • C. Wark
    Wark is a given name used by Jacob Wark Griffith, likely serving as his middle or familiar name.
  • D. Wakool
    Wakool is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural activities and proximity to the Wakool River.
  • E. Wokolo
    Wokolo is the largest known impact crater on Umbriel, one of Uranus’s major moons.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc713f081909ba1d1b986c1fe5c completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2297f7a48190b194f7e611d0682b completed April 14, 2026, 11:18 a.m.
NEDg Description generation batch_69de25d25474819081402b75ef7492f6 completed April 14, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69de2808244c8190bdb2d4d49f30e0d7 completed April 14, 2026, 11:42 a.m.
Created at: April 8, 2026, 9:14 p.m.