Triple
T16131767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapiti Coast |
E391415
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Raumati South |
E910505
|
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: Raumati South | Statement: [Kapiti Coast, hasTown, Raumati South]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raumati South Context triple: [Kapiti Coast, hasTown, Raumati South]
-
A.
Raumati South
chosen
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.
-
B.
Raumanga
Raumanga is a residential suburb of Whangārei in the Northland Region of New Zealand.
-
C.
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.
-
D.
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.
-
E.
Sursurunga
Sursurunga is an Austronesian language spoken in New Ireland Province of Papua New Guinea, notable for its complex numeral system.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a02172c8190978f7951ccd80928 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b1b7248190a1bba4a87db8318b |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.