Triple
T5237516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A20 |
E118258
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Renmark |
E155537
|
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: Renmark | Statement: [A20, connectsCity, Renmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renmark Context triple: [A20, connectsCity, Renmark]
-
A.
Renmark
chosen
Renmark is a rural town in South Australia's Riverland region, known for its irrigated fruit production and location along the Murray River.
-
B.
Shepparton
Shepparton is a regional city in northern Victoria, Australia, known as a major agricultural and fruit-growing centre on the traditional lands of the Yorta Yorta people.
-
C.
Albury
Albury is a major regional city in New South Wales, Australia, located on the border with Victoria and known as a key commercial and transport hub of the Murray River region.
-
D.
Albury
Albury is a small rural village and civil parish in Hertfordshire, England, known for its historic church and countryside setting.
-
E.
Pakenham
Pakenham is a rural village and civil parish in Suffolk, England, known for its historic watermill and windmill.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b27990c8190b6a3c24de09c8c18 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef820285881909f0e569e020a58ae |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:49 p.m.