Triple
T22818259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakatipu |
E565157
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Kingston |
—
|
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: Kingston | Statement: [Wakatipu, hasNearbyTown, Kingston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingston Context triple: [Wakatipu, hasNearbyTown, Kingston]
-
A.
Kingston
Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
-
B.
Kingston
Kingston is the small historic administrative center and main settlement of Norfolk Island, an external territory of Australia in the Pacific Ocean.
-
C.
Kingston
Kingston is a residential suburb located on Portsea Island in the city of Portsmouth, England.
-
D.
Kingston
chosen
Kingston is a small settlement in New Zealand’s South Island, located at the southern end of Lake Wakatipu and known as a gateway to the Queenstown-Lakes district.
-
E.
Kingston
Kingston is a town in south-west London, England, known as a major retail and commercial centre on the River Thames.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dce762c8190934fb921f942c9fd |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:33 p.m.