Triple

T9122688
Position Surface form Disambiguated ID Type / Status
Subject Zulu Army E218892 entity
Predicate organizationalUnit P3892 FINISHED
Object ibutho
Ibutho is a traditional Zulu military regiment system that organized warriors into age-based units for training, warfare, and social cohesion.
E779611 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: ibutho | Statement: [Zulu Army, organizationalUnit, ibutho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ibutho
Context triple: [Zulu Army, organizationalUnit, ibutho]
  • A. Sibutu
    Sibutu is a small but strategically located island in the southern Philippines near the maritime border with Malaysia, known for its role in regional sea routes and its predominantly Muslim population.
  • B. Ubungo
    Ubungo is an administrative district and urban area within the city of Dar es Salaam in eastern Tanzania.
  • C. Itege
    Itege is the traditional title for an empress or queen consort in the Ethiopian imperial system.
  • D. IBE
    IBE is the ICAO airline designator for Iberia, the flag carrier airline of Spain.
  • E. Tshiilafuri
    Tshiilafuri is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
  • 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: ibutho
Triple: [Zulu Army, organizationalUnit, ibutho]
Generated description
Ibutho is a traditional Zulu military regiment system that organized warriors into age-based units for training, warfare, and social cohesion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ibutho
Target entity description: Ibutho is a traditional Zulu military regiment system that organized warriors into age-based units for training, warfare, and social cohesion.
  • A. Sibutu
    Sibutu is a small but strategically located island in the southern Philippines near the maritime border with Malaysia, known for its role in regional sea routes and its predominantly Muslim population.
  • B. Ubungo
    Ubungo is an administrative district and urban area within the city of Dar es Salaam in eastern Tanzania.
  • C. Itege
    Itege is the traditional title for an empress or queen consort in the Ethiopian imperial system.
  • D. IBE
    IBE is the ICAO airline designator for Iberia, the flag carrier airline of Spain.
  • E. Tshiilafuri
    Tshiilafuri is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b46dac8190bde88205c85f596a completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0308ff628819083f02bf71eb40c5b completed April 3, 2026, 9:26 p.m.
NEDg Description generation batch_69d0318ef52c8190bfa0bef6a8d41daa completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d03571c4648190bd546152c61c55a5 completed April 3, 2026, 9:47 p.m.
Created at: March 30, 2026, 7:17 p.m.