Triple

T1082421
Position Surface form Disambiguated ID Type / Status
Subject iSimangaliso Wetland Park E23975 entity
Predicate hasPart P35 FINISHED
Object Ozabeni
Ozabeni is a natural area within South Africa’s iSimangaliso Wetland Park, known for its rich biodiversity and wetland ecosystems.
 E125173 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: Ozabeni | Statement: [iSimangaliso Wetland Park, hasPart, Ozabeni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ozabeni
Context triple: [iSimangaliso Wetland Park, hasPart, Ozabeni]
  • A. Oshiwambo
    Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
  • B. Sakubva
    Sakubva is a high-density residential suburb of Mutare in eastern Zimbabwe, known as one of the city’s oldest and most populous townships.
  • C. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • D. Odishi
    Odishi is the historical name for a region in western Georgia, corresponding largely to present-day Samegrelo and known for its distinct Mingrelian culture and history.
  • E. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • 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: Ozabeni
Triple: [iSimangaliso Wetland Park, hasPart, Ozabeni]
Generated description
Ozabeni is a natural area within South Africa’s iSimangaliso Wetland Park, known for its rich biodiversity and wetland ecosystems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ozabeni
Target entity description: Ozabeni is a natural area within South Africa’s iSimangaliso Wetland Park, known for its rich biodiversity and wetland ecosystems.
  • A. Oshiwambo
    Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
  • B. Sakubva
    Sakubva is a high-density residential suburb of Mutare in eastern Zimbabwe, known as one of the city’s oldest and most populous townships.
  • C. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • D. Odishi
    Odishi is the historical name for a region in western Georgia, corresponding largely to present-day Samegrelo and known for its distinct Mingrelian culture and history.
  • E. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b95d35888190a20593a278175df7 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42affbac8190b6b16a1d726d0d35 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac44a7a69c8190af5289f6e46d571a completed March 7, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_69ac451af1508190a55c037328b41931 completed March 7, 2026, 3:32 p.m.
Created at: March 1, 2026, 7:42 p.m.