Triple
T11175867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paraparaumu |
E264409
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Raumati South
Raumati South is a coastal residential suburb on the Kāpiti Coast of New Zealand’s North Island, known for its beaches and relaxed community atmosphere.
|
E910505
|
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: Raumati South | Statement: [Paraparaumu, hasSuburb, Raumati South]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raumati South Context triple: [Paraparaumu, hasSuburb, Raumati South]
-
A.
Raumanga
Raumanga is a residential suburb of Whangārei in the Northland Region of New Zealand.
-
B.
Paremata
Paremata is a coastal suburb of Porirua in the Wellington region of New Zealand, known for its harbour views and proximity to key transport routes.
-
C.
Matakohe
Matakohe is a small rural settlement in New Zealand best known for its Kauri Museum and historic connections to the kauri gum and timber industries.
-
D.
Sursurunga
Sursurunga is an Austronesian language spoken in New Ireland Province of Papua New Guinea, notable for its complex numeral system.
-
E.
Onerahi
Onerahi is a coastal suburb of Whangārei in Northland, New Zealand, known for its harbour views and proximity to Whangārei Airport.
- 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: Raumati South Triple: [Paraparaumu, hasSuburb, Raumati South]
Generated description
Raumati South is a coastal residential suburb on the Kāpiti Coast of New Zealand’s North Island, known for its beaches and relaxed community atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raumati South Target entity description: Raumati South is a coastal residential suburb on the Kāpiti Coast of New Zealand’s North Island, known for its beaches and relaxed community atmosphere.
-
A.
Raumanga
Raumanga is a residential suburb of Whangārei in the Northland Region of New Zealand.
-
B.
Paremata
Paremata is a coastal suburb of Porirua in the Wellington region of New Zealand, known for its harbour views and proximity to key transport routes.
-
C.
Matakohe
Matakohe is a small rural settlement in New Zealand best known for its Kauri Museum and historic connections to the kauri gum and timber industries.
-
D.
Sursurunga
Sursurunga is an Austronesian language spoken in New Ireland Province of Papua New Guinea, notable for its complex numeral system.
-
E.
Onerahi
Onerahi is a coastal suburb of Whangārei in Northland, New Zealand, known for its harbour views and proximity to Whangārei Airport.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4838f19388190af6fde7d4275ce2a |
completed | April 19, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_69e48788be688190a109ccb8281d3dc9 |
completed | April 19, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4890c12388190838d350207492c9e |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 8, 2026, 9:29 p.m.