Triple

T6184660
Position Surface form Disambiguated ID Type / Status
Subject Robert Blust E138026 entity
Predicate workLocation P7 FINISHED
Object Honolulu E318935 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: Honolulu | Statement: [Robert Blust, workLocation, Honolulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honolulu
Context triple: [Robert Blust, workLocation, Honolulu]
  • A. Honolulu chosen
    Honolulu is the capital and largest city of Hawaii, known for its Pacific island setting, Waikiki Beach, and role as a major hub for tourism and culture.
  • B. Hilo
    Hilo is a major town on the Big Island of Hawaii known for its lush rainforests, waterfalls, and role as a regional cultural and economic center.
  • C. Honolulu–Maui
    Honolulu–Maui is a key inter-island air route in Hawaii connecting the state capital on Oʻahu with the major island of Maui.
  • D. Wahiawa
    Wahiawa is a town in central Oahu, Hawaii, known for its plantation-era history and its location on a plateau between the island’s two main mountain ranges.
  • E. Poʻipū
    Poʻipū is a popular resort town on the southern coast of Kauaʻi in Hawaii, known for its sunny beaches, snorkeling, and upscale accommodations.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141370ae48190b7da53210fd27315 completed March 23, 2026, 1:33 p.m.
Created at: March 22, 2026, 4:19 p.m.