Triple

T8882482
Position Surface form Disambiguated ID Type / Status
Subject Hana, Hawaii E211443 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Hamoa Beach E63854 NE FINISHED

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: Hamoa Beach | Statement: [Hana, Hawaii, hasNearbyAttraction, Hamoa Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamoa Beach
Context triple: [Hana, Hawaii, hasNearbyAttraction, Hamoa Beach]
  • A. Hamoa Beach chosen
    Hamoa Beach is a picturesque, crescent-shaped beach near Hana on the island of Maui, known for its soft sand, lush surroundings, and excellent swimming and bodysurfing conditions.
  • B. Wainui Beach
    Wainui Beach is a popular surf and swimming beach near Gisborne on New Zealand’s North Island, known for its consistent waves and scenic sandy coastline.
  • C. Papamoa Beach
    Papamoa Beach is a popular coastal suburb and long sandy beach near Tauranga on New Zealand’s North Island, known for swimming, surfing, and holiday homes.
  • D. Onetangi Beach
    Onetangi Beach is a long, sandy surf beach and popular holiday destination on Waiheke Island in New Zealand’s Hauraki Gulf.
  • E. Ruakākā Beach
    Ruakākā Beach is a long, sandy surf beach on New Zealand’s Northland east coast, popular for swimming, surfing, and coastal recreation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616a01f48190b8bbde0e898a38c7 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabca74888190934593d6504fbed1 completed April 3, 2026, noon
Created at: March 30, 2026, 6:53 p.m.