Triple

T3876315
Position Surface form Disambiguated ID Type / Status
Subject Etosha National Park E92508 entity
Predicate hasCamp P7502 FINISHED
Object Okaukuejo
Okaukuejo is a popular rest camp and tourist hub in Namibia’s Etosha National Park, renowned for its floodlit waterhole that offers exceptional wildlife viewing, especially at night.
 E397820 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: Okaukuejo | Statement: [Etosha National Park, hasCamp, Okaukuejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Okaukuejo
Context triple: [Etosha National Park, hasCamp, Okaukuejo]
  • A. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • B. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • C. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • D. Okitipupa
    Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
  • E. Olosega
    Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
  • 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: Okaukuejo
Triple: [Etosha National Park, hasCamp, Okaukuejo]
Generated description
Okaukuejo is a popular rest camp and tourist hub in Namibia’s Etosha National Park, renowned for its floodlit waterhole that offers exceptional wildlife viewing, especially at night.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Okaukuejo
Target entity description: Okaukuejo is a popular rest camp and tourist hub in Namibia’s Etosha National Park, renowned for its floodlit waterhole that offers exceptional wildlife viewing, especially at night.
  • A. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • B. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • C. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • D. Okitipupa
    Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
  • E. Olosega
    Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec719c148190a731773ac262221b completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c87214881908e03f5c770c58713 completed March 14, 2026, 8:29 a.m.
NEDg Description generation batch_69b51d51e52881908f798b12ee123d69 completed March 14, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_69b51dba68fc8190b02b0ca47f4f7803 completed March 14, 2026, 8:35 a.m.
Created at: March 9, 2026, 3:20 p.m.