Triple
T9882793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wākea |
E180852
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Wakea |
E98028
|
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: Wakea | Statement: [Wākea, hasVariantSpelling, Wakea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wakea Context triple: [Wākea, hasVariantSpelling, Wakea]
-
A.
Rongo
Rongo is a major Polynesian deity commonly associated with cultivated food, especially sweet potatoes, as well as peace and agriculture.
-
B.
Lono
chosen
Lono is a principal Hawaiian god associated with agriculture, fertility, rainfall, and the Makahiki harvest festival.
-
C.
Tāne
Tāne is a major Polynesian deity, especially in Māori tradition, revered as the god of forests, birds, and the creator or shaper of humankind.
-
D.
Auma
Auma is a Kenyan-British community activist, sociologist, and author best known as the half-sister of former U.S. President Barack Obama.
-
E.
Tama-nui-te-rā
Tama-nui-te-rā is the personified sun in Māori mythology, often depicted as a powerful being whose swift journey across the sky was famously challenged and slowed by the hero Māui.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb418417c8190b00dea8916a2e102 |
completed | April 2, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eaf0afcc81908d263df7651958e2 |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:38 p.m.