Triple

T16221742
Position Surface form Disambiguated ID Type / Status
Subject Kolo E393742 entity
Predicate hasAlternativeName P39 FINISHED
Object Yaunde
Yaunde is an alternative name for Kolo, likely referring to the same place or entity under a different local or historical designation.
E1201571 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: Yaunde | Statement: [Kolo, hasAlternativeName, Yaunde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaunde
Context triple: [Kolo, hasAlternativeName, Yaunde]
  • A. Mogoro
    Mogoro is a small town and municipality in central-western Sardinia, Italy, known for its traditional crafts and wine production.
  • B. Limuru
    Limuru is a highland town in central Kenya known for its cool climate, tea plantations, and proximity to Nairobi.
  • C. Oshakati
    Oshakati is a major northern Namibian town that serves as an important commercial and administrative hub.
  • D. Mbewuleni
    Mbewuleni is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of former South African president Thabo Mbeki.
  • E. Masindi
    Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
  • 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: Yaunde
Triple: [Kolo, hasAlternativeName, Yaunde]
Generated description
Yaunde is an alternative name for Kolo, likely referring to the same place or entity under a different local or historical designation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yaunde
Target entity description: Yaunde is an alternative name for Kolo, likely referring to the same place or entity under a different local or historical designation.
  • A. Mogoro
    Mogoro is a small town and municipality in central-western Sardinia, Italy, known for its traditional crafts and wine production.
  • B. Limuru
    Limuru is a highland town in central Kenya known for its cool climate, tea plantations, and proximity to Nairobi.
  • C. Oshakati
    Oshakati is a major northern Namibian town that serves as an important commercial and administrative hub.
  • D. Mbewuleni
    Mbewuleni is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of former South African president Thabo Mbeki.
  • E. Masindi
    Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fcf058819099d5ff965cc2c267 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed55a7c8190b4bc8bc325a5da5b completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a000faa426c8190936dbdb512cf8b11 completed May 10, 2026, 4:55 a.m.
NED2 Entity disambiguation (via description) batch_6a00100cf04c8190adb0d1d73f3018a0 completed May 10, 2026, 4:56 a.m.
Created at: April 10, 2026, 5:03 a.m.