Triple
T12143780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rekohu |
E289261
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Wharekauri |
E166581
|
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: Wharekauri | Statement: [Rekohu, hasAlternativeName, Wharekauri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wharekauri Context triple: [Rekohu, hasAlternativeName, Wharekauri]
-
A.
Wharekauri
chosen
Wharekauri is the Māori name for the remote Chatham Islands archipelago east of mainland New Zealand.
-
B.
Te Kauwhata
Te Kauwhata is a small rural township in New Zealand’s Waikato region, known for its vineyards, agriculture, and location between Hamilton and Auckland.
-
C.
Hokowhitu
Hokowhitu is a residential suburb of Palmerston North, New Zealand, known for its riverside location, parks, and proximity to educational institutions.
-
D.
Kaiwharawhara
Kaiwharawhara is a suburb of Wellington, New Zealand, located on the city’s northern waterfront and known for its industrial areas, transport links, and proximity to the harbour.
-
E.
Mangawhai
Mangawhai is a coastal township in northern New Zealand known for its beaches, harbour, and popularity as a holiday and surfing destination.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915aacaa08190b31f54e230334406 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a7e24ac819083e85fb8edb2ed2c |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.