Triple

T13365841
Position Surface form Disambiguated ID Type / Status
Subject Honolulu E318935 entity
Predicate hasPart P35 FINISHED
Object Waikiki E16766 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: Waikiki | Statement: [Honolulu, hasPart, Waikiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waikiki
Context triple: [Honolulu, hasPart, Waikiki]
  • A. Waikiki chosen
    Waikiki is a famous beachfront neighborhood in Honolulu renowned for its white-sand beaches, surf culture, and major tourist resorts.
  • B. Hualālai
    Hualālai is an active shield volcano on the western side of Hawaiʻi Island, known for its relatively recent eruptions and luxury resort developments on its flanks.
  • C. Haleiwa
    Haleiwa is a historic surf town on Oahu’s North Shore in Hawaii, known for its laid-back atmosphere, beaches, and local shops and eateries.
  • D. ʻEwa Beach
    ʻEwa Beach is a coastal residential community on the southwestern shore of Oʻahu in Hawaii, known for its beaches, golf courses, and suburban growth.
  • E. Ala Moana Beach
    Ala Moana Beach is a popular man-made beach and park in Honolulu, Hawaii, known for its calm, protected waters and views of Waikiki and Diamond Head.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628c71ac81908cfa36342077766e completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c288c08190af46fe7d114df338 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:32 p.m.