Triple
T22610322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waialae Avenue |
E566681
|
entity |
| Predicate | hasNameElement |
P3097
|
FINISHED |
| Object | Waialae |
—
|
NE NERFINISHED |
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: Waialae | Statement: [Waialae Avenue, hasNameElement, Waialae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waialae Context triple: [Waialae Avenue, hasNameElement, Waialae]
-
A.
Waialae
chosen
Waialae is a residential neighborhood in Honolulu, Hawaii, known for its proximity to Waikiki and the upscale Kahala area.
-
B.
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.
-
C.
Waipahu
Waipahu is a former sugar plantation town and residential community located on the island of Oahu in Hawaii.
-
D.
Nānākuli
Nānākuli is a coastal community on the leeward side of Oʻahu in Hawaii, known for its strong Native Hawaiian presence and scenic beaches.
-
E.
Kaneohe
Kaneohe is a residential town on the windward side of Oahu in Hawaii, known for its lush landscapes, views of the Koʻolau Mountains, and access to Kaneohe Bay.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e9245c81908e36ffcd16737a9d |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:56 p.m.