Triple
T22343765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niu Valley |
E552338
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object | Aina Haina |
—
|
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: Aina Haina | Statement: [Niu Valley, locatedBetween, Aina Haina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aina Haina Context triple: [Niu Valley, locatedBetween, Aina Haina]
-
A.
Aina Haina
chosen
Aina Haina is a residential neighborhood in East Honolulu on the island of Oʻahu, known for its suburban character and proximity to both the ocean and the Koʻolau mountain range.
-
B.
Hualālai
Hualālai is an active shield volcano on the western side of Hawaiʻi Island, known for its relatively recent eruptions and luxury resort developments on its flanks.
-
C.
Hāna
Hāna is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, scenic coastal views, and the famously winding Road to Hāna.
-
D.
Pauahi
Pauahi is the given name of Bernice Pauahi Bishop, a Hawaiian high chiefess and philanthropist who founded the Kamehameha Schools.
-
E.
Pauahi
Pauahi was a Hawaiian high chiefess of the early 19th century who became one of the wives of King Kamehameha II.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15796b2288190b10e9402abf35fd3 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.