Triple
T23218125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pahoa |
E580805
|
entity |
| Predicate | hasNearbyCommunity |
P4647
|
FINISHED |
| Object | Keaau |
—
|
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: Keaau | Statement: [Pahoa, hasNearbyCommunity, Keaau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keaau Context triple: [Pahoa, hasNearbyCommunity, Keaau]
-
A.
Keaʻau
chosen
Keaʻau is a small town on the eastern side of Hawaiʻi Island known as a gateway community to the Puna region and nearby volcanic and rainforest attractions.
-
B.
Kīpahulu
Kīpahulu is a remote, lush coastal district in East Maui, Hawaii, known for its waterfalls, rainforests, and inclusion in Haleakalā National Park.
-
C.
Hanapepe
Hanapepe is a small historic town on the island of Kauai in Hawaii, known for its art galleries, plantation-era architecture, and charming main street.
-
D.
Kīnaʻu
Kīnaʻu was a high-ranking Hawaiian chiefess and influential regent of the Kingdom of Hawaii, known for her political authority and role in shaping the early post-Kamehameha era.
-
E.
Kaluahi
Kaluahi is a town located in the Madhubani district of the Indian state of Bihar.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916653f08190a7dcbc659c6b6a25 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.