Triple

T6652292
Position Surface form Disambiguated ID Type / Status
Subject Kona E150850 entity
Predicate partOf P40 FINISHED
Object South Kona District E602037 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: South Kona District | Statement: [Kona, partOf, South Kona District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Kona District
Context triple: [Kona, partOf, South Kona District]
  • A. South Kona District chosen
    South Kona District is a rural region on the western side of Hawaii Island known for its coffee farms, coastal villages, and scenic shoreline along the slopes of Mauna Loa.
  • B. North Kona District
    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.
  • C. 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.
  • D. Kaʻū District
    Kaʻū District is a large, rural region on the southern side of Hawaii’s Big Island, known for its volcanic landscapes, coffee farms, and rugged coastline.
  • E. Kaliua District
    Kaliua District is an administrative district located in western Tanzania, within the country’s Tabora Region.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b046c1408190af288575e40936d0 completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79642508190a2e3810e347f2e93 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:01 p.m.