Triple
T5546114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canterbury Region |
E145411
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ashburton |
E287656
|
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: Ashburton | Statement: [Canterbury Region, contains, Ashburton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashburton Context triple: [Canterbury Region, contains, Ashburton]
-
A.
Ashburton
chosen
Ashburton is a rural service town in New Zealand’s South Island, located in the Canterbury region and known for its agricultural economy and role as a hub for the surrounding farming district.
-
B.
Grafton
Grafton is a regional city in northern New South Wales, Australia, known for its historic architecture and annual Jacaranda Festival.
-
C.
Grafton
Grafton is a small rural village located within the district of West Oxfordshire in England.
-
D.
Grafton
Grafton is a small village in northeastern Ohio, United States, known for its residential community and proximity to the city of Cleveland.
-
E.
Harwood
Harwood is an English-language surname borne by various notable individuals across fields such as the military, arts, and politics.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fcc75448190a4c47ded65591345 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02826d84c8190a745e891ac2cccb8 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:35 p.m.