Triple

T3836941
Position Surface form Disambiguated ID Type / Status
Subject Hamilton urban area E91154 entity
Predicate hasPart P35 FINISHED
Object Taupo
Taupo is a popular resort town in New Zealand’s central North Island, known for Lake Taupo, geothermal attractions, and outdoor adventure tourism.
 E392347 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: Taupo | Statement: [Hamilton urban area, hasPart, Taupo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taupo
Context triple: [Hamilton urban area, hasPart, Taupo]
  • A. Marakei
    Marakei is a coral atoll in the Pacific island nation of Kiribati, known for its traditional villages and encircling lagoon.
  • B. Lake Taupō
    Lake Taupō is New Zealand’s largest lake, a volcanic caldera renowned for its clear waters, trout fishing, and central location on the North Island.
  • C. Paretetaitonga
    Paretetaitonga is one of the principal summits on Mount Ruapehu, a major active stratovolcano in New Zealand’s central North Island.
  • D. Ke‘anae
    Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
  • E. Aitutaki
    Aitutaki is a small, picturesque atoll in the South Pacific renowned for its turquoise lagoon, coral reefs, and traditional Polynesian culture.
  • 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: Taupo
Triple: [Hamilton urban area, hasPart, Taupo]
Generated description
Taupo is a popular resort town in New Zealand’s central North Island, known for Lake Taupo, geothermal attractions, and outdoor adventure tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taupo
Target entity description: Taupo is a popular resort town in New Zealand’s central North Island, known for Lake Taupo, geothermal attractions, and outdoor adventure tourism.
  • A. Marakei
    Marakei is a coral atoll in the Pacific island nation of Kiribati, known for its traditional villages and encircling lagoon.
  • B. Lake Taupō
    Lake Taupō is New Zealand’s largest lake, a volcanic caldera renowned for its clear waters, trout fishing, and central location on the North Island.
  • C. Paretetaitonga
    Paretetaitonga is one of the principal summits on Mount Ruapehu, a major active stratovolcano in New Zealand’s central North Island.
  • D. Ke‘anae
    Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
  • E. Aitutaki
    Aitutaki is a small, picturesque atoll in the South Pacific renowned for its turquoise lagoon, coral reefs, and traditional Polynesian culture.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb9baa508190800e73bf186f046e completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b50405264c8190b145dc3929ffc940 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504c46dcc8190a9775c39e5c734a9 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b505742830819093a861bde17c03c0 completed March 14, 2026, 6:51 a.m.
Created at: March 9, 2026, 3:18 p.m.