Triple

T22193393
Position Surface form Disambiguated ID Type / Status
Subject Palolo Valley E548487 entity
Predicate near P350 FINISHED
Object Waikiki 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: Waikiki | Statement: [Palolo Valley, near, Waikiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waikiki
Context triple: [Palolo Valley, near, 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 (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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae552908190b38c3d765bcfb68a completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.