Triple
T1355002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Līhuʻe |
E28967
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Kapaʻa |
E166964
|
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: Kapaʻa | Statement: [Līhuʻe, nearbyTown, Kapaʻa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapaʻa Context triple: [Līhuʻe, nearbyTown, Kapaʻa]
-
A.
Kapaʻa
chosen
Kapaʻa is a coastal town on the east side of the Hawaiian island of Kauaʻi known for its beaches, shops, and laid-back atmosphere.
-
B.
Lēʻahi
Lēʻahi is the Hawaiian name for Diamond Head, the iconic volcanic tuff cone and landmark overlooking Waikīkī on the island of Oʻahu.
-
C.
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.
-
D.
Kailua
Kailua is a coastal town on the windward side of Oahu in Hawaii, known for its scenic beaches and relaxed residential atmosphere.
-
E.
Līhuʻe
Līhuʻe is the principal town and administrative center of Kauai County on the Hawaiian island of Kauai.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c28afc848190925d8b2f9aeac12d |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58abdeb4819097000c1b2cf19538 |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 1, 2026, 7:56 p.m.