Triple
T20098570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Hutt |
E496471
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object | Akatarawa |
—
|
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: Akatarawa | Statement: [Upper Hutt, hasSuburb, Akatarawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akatarawa Context triple: [Upper Hutt, hasSuburb, Akatarawa]
-
A.
Akatarawa River
chosen
The Akatarawa River is a scenic river in the Wellington Region of New Zealand, flowing through bush-clad valleys and rural areas before joining the Hutt River.
-
B.
Agbani
Agbani is a town in southeastern Nigeria known as an educational and administrative hub within Enugu State.
-
C.
Ileret
Ileret is a remote settlement in northern Kenya’s Turkana Basin, known for its proximity to important paleoanthropological and archaeological sites.
-
D.
Akoka
Akoka is a neighborhood in Lagos, Nigeria, known for hosting parts of the University of Lagos and being situated within the Yaba area.
-
E.
Eti-Osa
Eti-Osa is a prominent local government area in Lagos State, Nigeria, encompassing key commercial and upscale residential districts such as Victoria Island and Lekki.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666e306c81909c0ef617e0f6fccf |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:25 p.m.