Triple

T18592310
Position Surface form Disambiguated ID Type / Status
Subject Ruapehu District E454398 entity
Predicate containsTown P847 FINISHED
Object Owhango
Owhango is a small rural village in New Zealand’s central North Island, known as a gateway to outdoor activities in the surrounding native forests and Tongariro National Park region.
 E1333944 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: Owhango | Statement: [Ruapehu District, containsTown, Owhango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Owhango
Context triple: [Ruapehu District, containsTown, Owhango]
  • A. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • B. Ohangwena
    Ohangwena is a settlement in northern Namibia that lends its name to the surrounding Ohangwena Region.
  • C. Oshindonga
    Oshindonga is a standardized Bantu language variety spoken primarily in northern Namibia and southern Angola, forming one of the main dialects of the Oshiwambo language cluster.
  • D. Owenga
    Owenga is a small fishing settlement on New Zealand’s Chatham Islands, known as one of the easternmost inhabited communities in the country.
  • E. Kwekwe
    Kwekwe is an industrial and mining city in central Zimbabwe known for its steel production and gold mining activities.
  • 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: Owhango
Triple: [Ruapehu District, containsTown, Owhango]
Generated description
Owhango is a small rural village in New Zealand’s central North Island, known as a gateway to outdoor activities in the surrounding native forests and Tongariro National Park region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Owhango
Target entity description: Owhango is a small rural village in New Zealand’s central North Island, known as a gateway to outdoor activities in the surrounding native forests and Tongariro National Park region.
  • A. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • B. Ohangwena
    Ohangwena is a settlement in northern Namibia that lends its name to the surrounding Ohangwena Region.
  • C. Oshindonga
    Oshindonga is a standardized Bantu language variety spoken primarily in northern Namibia and southern Angola, forming one of the main dialects of the Oshiwambo language cluster.
  • D. Owenga
    Owenga is a small fishing settlement on New Zealand’s Chatham Islands, known as one of the easternmost inhabited communities in the country.
  • E. Kwekwe
    Kwekwe is an industrial and mining city in central Zimbabwe known for its steel production and gold mining activities.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b6792481908eae92718aa4c889 completed April 19, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05037cdd8481909c70112b5da200b3 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a05073ad7c48190b2b547ea47887c40 completed May 13, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0507f27538819095391f361b6dedec completed May 13, 2026, 11:23 p.m.
Created at: April 10, 2026, 11:44 a.m.