Triple
T18402819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marsden Point |
E450037
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ruakākā |
—
|
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: Ruakākā | Statement: [Marsden Point, near, Ruakākā]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruakākā Context triple: [Marsden Point, near, Ruakākā]
-
A.
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.
-
B.
Rakahanga
Rakahanga is a remote coral atoll in the northern Cook Islands known for its traditional Polynesian culture and small, close-knit community.
-
C.
Kawerau
Kawerau is a small town in New Zealand’s Bay of Plenty region, known for its forestry industry and proximity to geothermal resources.
-
D.
Waikāne
Waikāne is a rural community on the windward side of Oʻahu, Hawaiʻi, known for its lush valleys, taro farming, and scenic views of the Koʻolau mountain range.
-
E.
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.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e519537eb88190bc85d21471e27c26 |
completed | April 19, 2026, 6:05 p.m. |
Created at: April 10, 2026, 10:46 a.m.