Triple

T10687704
Position Surface form Disambiguated ID Type / Status
Subject Don Graham E251921 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: [Don Graham, workLocation, Honolulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honolulu
Context triple: [Don Graham, 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd19f0f481909eeaa75d17d9c060 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9889d1f988190938be54771161b00 completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:10 p.m.