Triple

T14852917
Position Surface form Disambiguated ID Type / Status
Subject Zimbabwe National Roads Administration E349275 entity
Predicate shortName P43 FINISHED
Object ZINARA
ZINARA is the state agency in Zimbabwe responsible for collecting and managing road user fees and funding the maintenance and development of the national road network.
 E1124469 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: ZINARA | Statement: [Zimbabwe National Roads Administration, shortName, ZINARA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZINARA
Context triple: [Zimbabwe National Roads Administration, shortName, ZINARA]
  • A. Zaar
    Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
  • B. Zin
    Zin is a diminutive form of the Russian male given name Zinovy, used as a shorter or more familiar version of the name.
  • C. Zonaras
    Zonaras was a 12th-century Byzantine chronicler and former imperial official best known for his Epitome of Histories, a major source for earlier lost works on Roman and Byzantine history.
  • D. Zinna
    Zinna is a small town located within the Leipzig metropolitan region in eastern Germany.
  • E. Zanaki
    Zanaki are a small Bantu-speaking ethnic group in northern Tanzania, historically known as the people of King Nyerere, father of Tanzania’s first president Julius Nyerere.
  • 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: ZINARA
Triple: [Zimbabwe National Roads Administration, shortName, ZINARA]
Generated description
ZINARA is the state agency in Zimbabwe responsible for collecting and managing road user fees and funding the maintenance and development of the national road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZINARA
Target entity description: ZINARA is the state agency in Zimbabwe responsible for collecting and managing road user fees and funding the maintenance and development of the national road network.
  • A. Zaar
    Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
  • B. Zin
    Zin is a diminutive form of the Russian male given name Zinovy, used as a shorter or more familiar version of the name.
  • C. Zonaras
    Zonaras was a 12th-century Byzantine chronicler and former imperial official best known for his Epitome of Histories, a major source for earlier lost works on Roman and Byzantine history.
  • D. Zinna
    Zinna is a small town located within the Leipzig metropolitan region in eastern Germany.
  • E. Zanaki
    Zanaki are a small Bantu-speaking ethnic group in northern Tanzania, historically known as the people of King Nyerere, father of Tanzania’s first president Julius Nyerere.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded441e70881909bbf62b66d932aff completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6506ace48190819504b93f575660 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66a5f3a88190827c6c9247323153 completed May 8, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69fe67384ee881908396d613fdd53492 completed May 8, 2026, 10:44 p.m.
Created at: April 10, 2026, 1:54 a.m.