Triple
T6981962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaii Route 56 |
E161867
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Hanalei |
E147436
|
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: Hanalei | Statement: [Hawaii Route 56, connects, Hanalei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanalei Context triple: [Hawaii Route 56, connects, Hanalei]
-
A.
Wailea
Wailea is a luxury resort community on the south shore of Maui, Hawaii, known for its upscale hotels, golf courses, and beautiful beaches.
-
B.
Hanalei Bay
chosen
Hanalei Bay is a scenic, crescent-shaped bay on the north shore of Kauaʻi in Hawaii, renowned for its sandy beaches, lush mountain backdrop, and excellent surfing conditions.
-
C.
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.
-
D.
Kapalua
Kapalua is a resort community on the northwest coast of Maui, Hawaii, known for its luxury accommodations, golf courses, and scenic beaches.
-
E.
Haleiwa
Haleiwa is a historic surf town on Oahu’s North Shore in Hawaii, known for its laid-back atmosphere, beaches, and local shops and eateries.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db6d3f3c8190b0121f7934440c34 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c99ba1bbdc81909269ac0a97caa91d |
completed | March 29, 2026, 9:37 p.m. |
Created at: March 27, 2026, 2:31 p.m.