Triple
T23220633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oreti River |
E580879
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Lumsden |
—
|
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: Lumsden | Statement: [Oreti River, hasNearbySettlement, Lumsden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumsden Context triple: [Oreti River, hasNearbySettlement, Lumsden]
-
A.
Lumsden
chosen
Lumsden is a small rural town in New Zealand’s Southland region, serving as a local service and transport hub for the surrounding farming communities.
-
B.
Lumsden
Lumsden is a small town in Saskatchewan, Canada, situated in the Qu’Appelle Valley northwest of Regina and known for its scenic setting and agricultural roots.
-
C.
Cardston
Cardston is a small town in southern Alberta, Canada, known for its strong Latter-day Saint heritage and historic temple.
-
D.
Nanton
Nanton is a small town in southern Alberta, Canada, known for its historic grain elevators, aviation museum, and location along a major north–south transportation corridor.
-
E.
Ponoka
Ponoka is a small town in central Alberta, Canada, known for its agricultural community and annual rodeo events.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916870148190853874e6cf26bbc7 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.