Triple

T16963615
Position Surface form Disambiguated ID Type / Status
Subject Tantalus E411488 entity
Predicate hasViewOf P854 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: [Tantalus, hasViewOf, Waikiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waikiki
Context triple: [Tantalus, hasViewOf, 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. Waikiki
    Waikiki is a coastal suburb in the City of Rockingham, Western Australia, known for its residential areas and proximity to sandy beaches.
  • C. 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.
  • D. Mākaha Beach
    Mākaha Beach is a renowned surfing and snorkeling beach on Oahu’s west (Leeward) coast, known for its powerful winter waves and clear, calm waters in summer.
  • E. 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.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a1f6308190af5ad171630dacbf completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46ad58c8190be9f0b36daba8162 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.