Triple
T7276844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaunakakai Harbor |
E163051
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Kaunakakai |
E139694
|
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: Kaunakakai | Statement: [Kaunakakai Harbor, nearbyCity, Kaunakakai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaunakakai Context triple: [Kaunakakai Harbor, nearbyCity, Kaunakakai]
-
A.
Kaunakakai
chosen
Kaunakakai is the main town and commercial center of the Hawaiian island of Molokaʻi, known for its small-town character and historic harbor.
-
B.
Kawaikini
Kawaikini is the highest peak on the Hawaiian island of Kauaʻi, located in the island’s central, rainforest-covered interior.
-
C.
Taneti Maamau
Taneti Maamau is a Kiribati politician who has served as the country's president, known for his pro-China foreign policy stance and focus on economic development and climate resilience.
-
D.
Kaiolohia
Kaiolohia, also known as Shipwreck Beach, is a remote, rugged stretch of coastline on the Hawaiian island of Lānaʻi noted for its offshore shipwrecks and scenic views.
-
E.
Maoka
Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb2f239c819097c1ac4d6de8b0e5 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3110688190bf52180ea159c91c |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.