Triple
T5890645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalanianaʻole Highway |
E130978
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Kailua region |
E311190
|
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: Kailua region | Statement: [Kalanianaʻole Highway, connects, Kailua region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kailua region Context triple: [Kalanianaʻole Highway, connects, Kailua region]
-
A.
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.
-
B.
Koʻolaupoko District
chosen
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.
-
C.
Kaliua District
Kaliua District is an administrative district located in western Tanzania, within the country’s Tabora Region.
-
D.
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.
-
E.
Kailua-Kona
Kailua-Kona is a coastal town on the west side of Hawaii's Big Island known for its sunny beaches, historic sites, coffee farms, and role as a major tourist and commercial center.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b228508190b050acf51860a5c2 |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1134bb82881908b912f96a3b6f0f1 |
completed | March 23, 2026, 10:17 a.m. |
Created at: March 22, 2026, 3:58 p.m.