Triple
T15789549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Waikiki |
E382825
|
entity |
| Predicate | nearbyAttraction |
P3449
|
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: [First Lady of Waikiki, nearbyAttraction, Waikiki Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waikiki Beach Context triple: [First Lady of Waikiki, nearbyAttraction, 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.
Waikiki
Waikiki is a coastal suburb in the City of Rockingham, Western Australia, known for its residential areas and proximity to sandy beaches.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e054048ff48190ad107c890ef73166 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa12d6f388190b61cdc7820ce6311 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:48 a.m.