Triple

T2463029
Position Surface form Disambiguated ID Type / Status
Subject Highlanders F.C. E54577 entity
Predicate nickname P55 FINISHED
Object Tshilamoya
Tshilamoya is the popular nickname of Highlanders F.C., one of Zimbabwe’s oldest and most successful football clubs.
E268366 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: Tshilamoya | Statement: [Highlanders F.C., nickname, Tshilamoya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tshilamoya
Context triple: [Highlanders F.C., nickname, Tshilamoya]
  • A. Tshiilafuri
    Tshiilafuri is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
  • B. Chikanga
    Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
  • C. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • D. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • E. Nzega
    Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
  • 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: Tshilamoya
Triple: [Highlanders F.C., nickname, Tshilamoya]
Generated description
Tshilamoya is the popular nickname of Highlanders F.C., one of Zimbabwe’s oldest and most successful football clubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tshilamoya
Target entity description: Tshilamoya is the popular nickname of Highlanders F.C., one of Zimbabwe’s oldest and most successful football clubs.
  • A. Tshiilafuri
    Tshiilafuri is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
  • B. Chikanga
    Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
  • C. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • D. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • E. Himonya
    Himonya is a residential neighborhood in Meguro, Tokyo, known for its quiet streets, local shopping streets, and the Himonya Park and pond area.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd11f093c8190877db3026d430bd5 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0d561a081909310113658b98f12 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef8380d24819092b6502117a8ed42 completed March 9, 2026, 4:41 p.m.
NED2 Entity disambiguation (via description) batch_69aef936b86c81908573ea73314fe6a9 completed March 9, 2026, 4:45 p.m.
Created at: March 6, 2026, 9:44 p.m.