Triple
T4526153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northland Region |
E106182
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Waipu |
E453698
|
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: Waipu | Statement: [Northland Region, contains, Waipu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waipu Context triple: [Northland Region, contains, Waipu]
-
A.
Ke‘anae
Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
-
B.
Ruakākā
chosen
Ruakākā is a small coastal town in New Zealand known for its long sandy beach, surf breaks, and proximity to the Marsden Point industrial area.
-
C.
Opononi
Opononi is a small coastal settlement in New Zealand known for its scenic Hokianga Harbour views and historic seaside charm.
-
D.
Kaikohe
Kaikohe is a small inland town in New Zealand known as the commercial and service hub of the Far North district.
-
E.
Wàitān
Wàitān is the Chinese pinyin name for the Bund, Shanghai’s famous historic waterfront promenade along the Huangpu River known for its colonial-era architecture and skyline views.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57760f4481908f69ce82be63d7f8 |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be101759e08190b3190c6e8961b3f7 |
completed | March 21, 2026, 3:27 a.m. |
Created at: March 20, 2026, 1:03 p.m.