Triple

T6041354
Position Surface form Disambiguated ID Type / Status
Subject Lake Wakatipu E134551 entity
Predicate hasMaoriName P1435 FINISHED
Object Wakatipu
Wakatipu is the Māori name for Lake Wakatipu, a large S-shaped glacial lake in New Zealand’s South Island renowned for its dramatic alpine scenery.
E565157 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: Wakatipu | Statement: [Lake Wakatipu, hasMaoriName, Wakatipu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wakatipu
Context triple: [Lake Wakatipu, hasMaoriName, Wakatipu]
  • A. Doi Pui
    Doi Pui is a prominent mountain in northern Thailand known for its scenic views, Hmong hill-tribe village, and proximity to Chiang Mai.
  • B. Quilotoa
    Quilotoa is a water-filled volcanic crater lake in the Ecuadorian Andes, renowned for its striking turquoise color and dramatic caldera scenery.
  • C. Tepehua
    Tepehua is an indigenous Mesoamerican language (or group of closely related languages) spoken by the Tepehua people primarily in the central-eastern region of Mexico.
  • D. Marakei
    Marakei is a coral atoll in the Pacific island nation of Kiribati, known for its traditional villages and encircling lagoon.
  • E. Paso Puyehue
    Paso Puyehue is a mountain pass and international border crossing in the Andes that connects southern Chile and Argentina.
  • 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: Wakatipu
Triple: [Lake Wakatipu, hasMaoriName, Wakatipu]
Generated description
Wakatipu is the Māori name for Lake Wakatipu, a large S-shaped glacial lake in New Zealand’s South Island renowned for its dramatic alpine scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wakatipu
Target entity description: Wakatipu is the Māori name for Lake Wakatipu, a large S-shaped glacial lake in New Zealand’s South Island renowned for its dramatic alpine scenery.
  • A. Doi Pui
    Doi Pui is a prominent mountain in northern Thailand known for its scenic views, Hmong hill-tribe village, and proximity to Chiang Mai.
  • B. Quilotoa
    Quilotoa is a water-filled volcanic crater lake in the Ecuadorian Andes, renowned for its striking turquoise color and dramatic caldera scenery.
  • C. Tepehua
    Tepehua is an indigenous Mesoamerican language (or group of closely related languages) spoken by the Tepehua people primarily in the central-eastern region of Mexico.
  • D. Marakei
    Marakei is a coral atoll in the Pacific island nation of Kiribati, known for its traditional villages and encircling lagoon.
  • E. Paso Puyehue
    Paso Puyehue is a mountain pass and international border crossing in the Andes that connects southern Chile and Argentina.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056d11370819096ac35349bd91f4e completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139793708190b14c83d4197a33a0 completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c116054e9881908de17b355558f149 completed March 23, 2026, 10:29 a.m.
NED2 Entity disambiguation (via description) batch_69c1167938008190bf43698bf4b69062 completed March 23, 2026, 10:31 a.m.
Created at: March 22, 2026, 4:08 p.m.