Triple
T4526148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northland Region |
E106182
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kaikohe
Kaikohe is a small inland town in New Zealand known as the commercial and service hub of the Far North district.
|
E453087
|
NE FINISHED |
How this triple was built (4 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: Kaikohe | Statement: [Northland Region, contains, Kaikohe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaikohe Context triple: [Northland Region, contains, Kaikohe]
-
A.
Pauanui
Pauanui is a popular coastal holiday town on New Zealand’s North Island, known for its sandy beach, boating, and relaxed resort atmosphere.
-
B.
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.
-
C.
Lēʻahi
Lēʻahi is the Hawaiian name for Diamond Head, the iconic volcanic tuff cone and landmark overlooking Waikīkī on the island of Oʻahu.
-
D.
Kapaʻa
Kapaʻa is a coastal town on the east side of the Hawaiian island of Kauaʻi known for its beaches, shops, and laid-back atmosphere.
-
E.
Mokuleia
Mokuleia is a quiet coastal community on Oahu’s North Shore known for its scenic beaches, rural atmosphere, and outdoor activities like surfing, hiking, and skydiving.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kaikohe Triple: [Northland Region, contains, Kaikohe]
Generated description
Kaikohe is a small inland town in New Zealand known as the commercial and service hub of the Far North district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaikohe Target entity description: Kaikohe is a small inland town in New Zealand known as the commercial and service hub of the Far North district.
-
A.
Pauanui
Pauanui is a popular coastal holiday town on New Zealand’s North Island, known for its sandy beach, boating, and relaxed resort atmosphere.
-
B.
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.
-
C.
Lēʻahi
Lēʻahi is the Hawaiian name for Diamond Head, the iconic volcanic tuff cone and landmark overlooking Waikīkī on the island of Oʻahu.
-
D.
Kapaʻa
Kapaʻa is a coastal town on the east side of the Hawaiian island of Kauaʻi known for its beaches, shops, and laid-back atmosphere.
-
E.
Mokuleia
Mokuleia is a quiet coastal community on Oahu’s North Shore known for its scenic beaches, rural atmosphere, and outdoor activities like surfing, hiking, and skydiving.
- F. None of above. chosen
Provenance (5 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_69bdc55254848190940c506e75d79933 |
completed | March 20, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69bdc8eea638819080c255769a66d651 |
completed | March 20, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdc96926288190b7a922adf15098f4 |
completed | March 20, 2026, 10:25 p.m. |
Created at: March 20, 2026, 1:03 p.m.