Triple
T10530305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southland District |
E248421
|
entity |
| Predicate | containsLocality |
P45140
|
FINISHED |
| Object | Winton |
E646117
|
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: Winton | Statement: [Southland District, containsLocality, Winton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winton Context triple: [Southland District, containsLocality, Winton]
-
A.
Winton
Winton is a small unincorporated community and census-designated place in California’s Central Valley.
-
B.
Winton
Winton is a suburban area within the City of Salford in Greater Manchester, England.
-
C.
Winton
chosen
Winton is a small rural town in New Zealand’s Southland region, known as a service and farming hub for the surrounding agricultural community.
-
D.
Swan Hill
Swan Hill is a regional city in north-western Victoria, Australia, known for its agriculture, historic river port, and tourism along the Murray River.
-
E.
Booral
Booral is a small rural locality in New South Wales, Australia, known for its riverside setting and agricultural surroundings.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a16915c8190ac4f3fd5e43c5fed |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e3caf4c8190b19199f1a68a00de |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:30 p.m.