Triple

T1962613
Position Surface form Disambiguated ID Type / Status
Subject Zulu people E42619 entity
Predicate traditionalDress P5541 FINISHED
Object isidwaba
Isidwaba is a traditional leather skirt worn by married Zulu women as a symbol of marital status and cultural identity.
 E218887 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: isidwaba | Statement: [Zulu people, traditionalDress, isidwaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: isidwaba
Context triple: [Zulu people, traditionalDress, isidwaba]
  • A. IDA
    IDA is the International Development Association, the World Bank Group’s fund that provides concessional loans and grants to the world’s poorest countries.
  • B. IDEP
    IDEP is a regional training and research institute under the United Nations Economic Commission for Africa that focuses on economic development and planning in African countries.
  • C. EIDW
    EIDW is the ICAO airport code for Dublin Airport, the main international airport serving Dublin and the Republic of Ireland.
  • D. IBE
    IBE is the ICAO airline designator for Iberia, the flag carrier airline of Spain.
  • E. Esigodini
    Esigodini is a small town in southwestern Zimbabwe known for its agricultural surroundings and role as a local service and transport hub.
  • 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: isidwaba
Triple: [Zulu people, traditionalDress, isidwaba]
Generated description
Isidwaba is a traditional leather skirt worn by married Zulu women as a symbol of marital status and cultural identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: isidwaba
Target entity description: Isidwaba is a traditional leather skirt worn by married Zulu women as a symbol of marital status and cultural identity.
  • A. IDA
    IDA is the International Development Association, the World Bank Group’s fund that provides concessional loans and grants to the world’s poorest countries.
  • B. IDEP
    IDEP is a regional training and research institute under the United Nations Economic Commission for Africa that focuses on economic development and planning in African countries.
  • C. EIDW
    EIDW is the ICAO airport code for Dublin Airport, the main international airport serving Dublin and the Republic of Ireland.
  • D. IBE
    IBE is the ICAO airline designator for Iberia, the flag carrier airline of Spain.
  • E. Esigodini
    Esigodini is a small town in southwestern Zimbabwe known for its agricultural surroundings and role as a local service and transport hub.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3ac31a08190abaecac8badc52c7 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd133908190add1c78d91a813ef completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6d7fb08190959ee247d0060f4c completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd2f68f48190ad23db5ca6ae663a completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:36 p.m.