Triple
T17494899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whanganui |
E426030
|
entity |
| Predicate | hasFormerOfficialName |
P65
|
FINISHED |
| Object | Wanganui |
—
|
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: Wanganui | Statement: [Whanganui, hasFormerOfficialName, Wanganui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanganui Context triple: [Whanganui, hasFormerOfficialName, Wanganui]
-
A.
Wanganui
Wanganui is a rural locality within the Byron Shire region of New South Wales, Australia.
-
B.
Wanganui
chosen
Wanganui is a city and surrounding region on New Zealand’s North Island, known for the Whanganui River and its strong rugby culture.
-
C.
Whangārei
Whangārei is a coastal city in northern New Zealand known as the main urban center of the Northland Region, featuring a busy harbor, waterfalls, and access to scenic beaches.
-
D.
Gisborne
Gisborne is a coastal city on the northeastern tip of New Zealand’s North Island, known for its wineries, surf beaches, and being one of the first places in the world to see the sunrise.
-
E.
Timaru
Timaru is a coastal port town and service center on the east coast of New Zealand’s South Island.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520dd9508190872a71d3722228e2 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.