Triple
T18593817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parengarenga Harbour |
E454436
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Te Kao |
—
|
NE NERFINISHED |
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: Te Kao | Statement: [Parengarenga Harbour, hasNearbySettlement, Te Kao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Te Kao Context triple: [Parengarenga Harbour, hasNearbySettlement, Te Kao]
-
A.
Te Kao
chosen
Te Kao is a small rural community at the northern end of New Zealand’s North Island, known for its strong Māori heritage and proximity to Ninety Mile Beach.
-
B.
Kaeo
Kaeo is a small rural township in New Zealand’s Northland Region, known for its historic buildings and location near the Whangaroa Harbour.
-
C.
Ko Tachai
Ko Tachai is a small Thai island in the Andaman Sea, known for its white-sand beaches, clear waters, and rich marine life popular with divers and snorkelers.
-
D.
Tai-Ngon
Tai-Ngon is the former name of Chợ Lớn, the historic Chinese-influenced district that later became part of Ho Chi Minh City in Vietnam.
-
E.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b7ce3881908302ee27a2cf80d6 |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.