Triple

T3713147
Position Surface form Disambiguated ID Type / Status
Subject Mauna Loa E81461 entity
Predicate threatens P1358 FINISHED
Object Kona region E150851 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: Kona region | Statement: [Mauna Loa, threatens, Kona region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kona region
Context triple: [Mauna Loa, threatens, Kona region]
  • A. North Kona District chosen
    North Kona District is a coastal region on the western side of Hawaii Island known for its sunny climate, coffee farms, and the resort and commercial hub of Kailua-Kona.
  • B. Kīpahulu District
    Kīpahulu District is a lush, coastal area on the eastern side of Maui known for its waterfalls, pools, and scenic hiking trails within Haleakalā National Park.
  • C. Kaliua District
    Kaliua District is an administrative district located in western Tanzania, within the country’s Tabora Region.
  • D. Koʻolaupoko District
    Koʻolaupoko District is a region on the windward side of Oʻahu, Hawaiʻi, encompassing several communities along the lush, coastal slopes of the Koʻolau mountain range.
  • E. Kapaʻa
    Kapaʻa is a coastal town on the east side of the Hawaiian island of Kauaʻi known for its beaches, shops, and laid-back atmosphere.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9cbc5648190936f93868086167e completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce0c3320819092ca5dd0694e167f completed March 14, 2026, 2:55 a.m.
Created at: March 8, 2026, 3:33 p.m.