Triple
T13365847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honolulu |
E318935
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Waikiki Beach |
E16766
|
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: Waikiki Beach | Statement: [Honolulu, hasLandmark, Waikiki Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waikiki Beach Context triple: [Honolulu, hasLandmark, Waikiki Beach]
-
A.
Waikiki
chosen
Waikiki is a famous beachfront neighborhood in Honolulu renowned for its white-sand beaches, surf culture, and major tourist resorts.
-
B.
Ala Moana Beach
Ala Moana Beach is a popular man-made beach and park in Honolulu, Hawaii, known for its calm, protected waters and views of Waikiki and Diamond Head.
-
C.
Wailea Beach
Wailea Beach is a popular, upscale resort beach on the southwest coast of Maui, Hawaii, known for its golden sand, calm waters, and luxury hotels.
-
D.
ʻEwa Beach
ʻEwa Beach is a coastal residential community on the southwestern shore of Oʻahu in Hawaii, known for its beaches, golf courses, and suburban growth.
-
E.
Lanikai Beach
Lanikai Beach is a small, picturesque white-sand beach on Oahu’s windward coast, famous for its clear turquoise water and views of the Mokulua Islands.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628c71ac81908cfa36342077766e |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d591648190beb4430c6b199eb8 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 9:32 p.m.