Triple
T8960989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hāna |
E214001
|
entity |
| Predicate | nearAttraction |
P3449
|
FINISHED |
| Object | Hamoa Beach |
E63854
|
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: Hamoa Beach | Statement: [Hāna, nearAttraction, Hamoa Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamoa Beach Context triple: [Hāna, nearAttraction, Hamoa Beach]
-
A.
Hamoa Beach
chosen
Hamoa Beach is a picturesque, crescent-shaped beach near Hana on the island of Maui, known for its soft sand, lush surroundings, and excellent swimming and bodysurfing conditions.
-
B.
Wainui Beach
Wainui Beach is a popular surf and swimming beach near Gisborne on New Zealand’s North Island, known for its consistent waves and scenic sandy coastline.
-
C.
Papamoa Beach
Papamoa Beach is a popular coastal suburb and long sandy beach near Tauranga on New Zealand’s North Island, known for swimming, surfing, and holiday homes.
-
D.
Onetangi Beach
Onetangi Beach is a long, sandy surf beach and popular holiday destination on Waiheke Island in New Zealand’s Hauraki Gulf.
-
E.
Ruakākā Beach
Ruakākā Beach is a long, sandy surf beach on New Zealand’s Northland east coast, popular for swimming, surfing, and coastal recreation.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6748baa88190ac54e701dc4d6212 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc94ab868819080ff3fc7532a3874 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7 p.m.