Triple
T13014973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauraki District |
E322526
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Kerepehi
Kerepehi is a small rural town in New Zealand’s North Island, situated in the Hauraki Plains area of the Waikato region.
|
E1015950
|
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: Kerepehi | Statement: [Hauraki District, hasTown, Kerepehi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerepehi Context triple: [Hauraki District, hasTown, Kerepehi]
-
A.
Arakere
Arakere is a village in the Indian state of Karnataka known historically as the site of the Battle of Arakere during the Fourth Anglo-Mysore War.
-
B.
Tupuri
The Tupuri are an ethnic group of Central Africa, primarily living in northern Cameroon and southwestern Chad, known for their distinct language and agrarian lifestyle.
-
C.
Drongan
Drongan is a small village in East Ayrshire, Scotland, historically associated with coal mining and rural community life.
-
D.
Kivili
Kivili is a regional dialect of the Kikongo language spoken by communities in parts of Central Africa.
-
E.
Tikipunga
Tikipunga is a residential suburb in the northern New Zealand city of Whangārei, known for its local schools, parks, and community facilities.
- 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: Kerepehi Triple: [Hauraki District, hasTown, Kerepehi]
Generated description
Kerepehi is a small rural town in New Zealand’s North Island, situated in the Hauraki Plains area of the Waikato region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kerepehi Target entity description: Kerepehi is a small rural town in New Zealand’s North Island, situated in the Hauraki Plains area of the Waikato region.
-
A.
Arakere
Arakere is a village in the Indian state of Karnataka known historically as the site of the Battle of Arakere during the Fourth Anglo-Mysore War.
-
B.
Tupuri
The Tupuri are an ethnic group of Central Africa, primarily living in northern Cameroon and southwestern Chad, known for their distinct language and agrarian lifestyle.
-
C.
Drongan
Drongan is a small village in East Ayrshire, Scotland, historically associated with coal mining and rural community life.
-
D.
Kivili
Kivili is a regional dialect of the Kikongo language spoken by communities in parts of Central Africa.
-
E.
Tikipunga
Tikipunga is a residential suburb in the northern New Zealand city of Whangārei, known for its local schools, parks, and community facilities.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecd04748190ade2530ee5db35fe |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11290e08190a41c162d47094203 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c20a1eb881908a28dc884c2005ef |
completed | May 3, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c34b9ec08190bb29458b6f43c388 |
completed | May 3, 2026, 3:38 a.m. |
Created at: April 9, 2026, 8:50 p.m.