Triple
T22866123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Hawaii |
E567058
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Kona region |
—
|
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: Kona region | Statement: [North Hawaii, borders, Kona region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kona region Context triple: [North Hawaii, borders, Kona region]
-
A.
Kunia region
Kunia region is a rural area in central Oʻahu, Hawaiʻi, known historically for its plantation-era agricultural lands and pineapple and sugarcane fields.
-
B.
Kaniaga region
The Kaniaga region was a historic area in West Africa that served as the core territory and stronghold of the medieval Sosso state.
-
C.
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.
-
D.
South Kona District
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.
-
E.
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.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f00f21081909b771610549c5757 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.