Triple
T20587902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pātea River |
E505834
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Pātea |
—
|
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: Pātea | Statement: [Pātea River, flowsThrough, Pātea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pātea Context triple: [Pātea River, flowsThrough, Pātea]
-
A.
Pātea
chosen
Pātea is a small coastal town in South Taranaki, New Zealand, known for its historic freezing works and its strong Māori cultural heritage.
-
B.
Tangowahine
Tangowahine is a small rural locality in New Zealand’s Northland Region, situated within the Kaipara District.
-
C.
Mangonui
Mangonui is a small historic coastal town in New Zealand known for its scenic harbour, fishing heritage, and popular waterfront fish and chip shops.
-
D.
Waitākere
Waitākere is a largely suburban and semi-rural area in West Auckland, New Zealand, known for its native bush, black-sand surf beaches, and the Waitākere Ranges.
-
E.
Putāruru
Putāruru is a small town in New Zealand’s North Island known for its timber industry and proximity to natural attractions such as the Blue Spring.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a9790cc08190b48949834cd421d2 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.