Triple

T9269141
Position Surface form Disambiguated ID Type / Status
Subject Karekare E222777 entity
Predicate hasAlternativeName P39 FINISHED
Object Karekari
Karekari is an alternative name for Karekare, a coastal settlement in West Auckland, New Zealand, known for its rugged black-sand surf beach and dramatic landscapes.
 E788782 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: Karekari | Statement: [Karekare, hasAlternativeName, Karekari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karekari
Context triple: [Karekare, hasAlternativeName, Karekari]
  • A. Sirokakara
    Sirokakara is a small settlement located on Choiseul Island in the Solomon Islands.
  • B. Nakoruru
    Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
  • C. Kudanshita
    Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • 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: Karekari
Triple: [Karekare, hasAlternativeName, Karekari]
Generated description
Karekari is an alternative name for Karekare, a coastal settlement in West Auckland, New Zealand, known for its rugged black-sand surf beach and dramatic landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karekari
Target entity description: Karekari is an alternative name for Karekare, a coastal settlement in West Auckland, New Zealand, known for its rugged black-sand surf beach and dramatic landscapes.
  • A. Sirokakara
    Sirokakara is a small settlement located on Choiseul Island in the Solomon Islands.
  • B. Nakoruru
    Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
  • C. Kudanshita
    Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd074ef7408190b213c09491918132 completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c2239a08190b954c8c57ced8fd2 completed April 4, 2026, 5:05 a.m.
NEDg Description generation batch_69d09cf11e488190b61f4a61002454e6 completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09e2450048190b5aa31507e54d6c8 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:33 p.m.