Triple
T1730745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pīpīwai Trail |
E37803
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Kīpahulu District |
E172543
|
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: Kīpahulu District | Statement: [Pīpīwai Trail, isPartOf, Kīpahulu District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kīpahulu District Context triple: [Pīpīwai Trail, isPartOf, Kīpahulu District]
-
A.
Kīpahulu District
chosen
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.
Kaliua District
Kaliua District is an administrative district located in western Tanzania, within the country’s Tabora Region.
-
C.
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.
-
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.
Aiea
Aiea is a residential community on the island of Oahu in Hawaii, located inland from Honolulu and known for its proximity to Pearl Harbor and historic World War II sites.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63804cd48190aef5e0f231600e58 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8af9c15c8190818a891f5eae6569 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.