Triple

T18402298
Position Surface form Disambiguated ID Type / Status
Subject Rawene E450024 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Kohukohu NE NERFINISHED

How this triple was built (2 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: Kohukohu | Statement: [Rawene, hasNearbySettlement, Kohukohu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohukohu
Context triple: [Rawene, hasNearbySettlement, Kohukohu]
  • A. Kohukohu chosen
    Kohukohu is a small historic town in New Zealand’s Far North District, known for its early European settlement, timber industry heritage, and location on the shores of the Hokianga Harbour.
  • B. Kawaikini
    Kawaikini is the highest peak on the Hawaiian island of Kauaʻi, located in the island’s central, rainforest-covered interior.
  • C. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • D. Kohunlich
    Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
  • E. Kameari
    Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e519537eb88190bc85d21471e27c26 completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:46 a.m.