Triple
T17401124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dandenong railway station |
E423088
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Pakenham |
—
|
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: Pakenham | Statement: [Dandenong railway station, connectsTo, Pakenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pakenham Context triple: [Dandenong railway station, connectsTo, Pakenham]
-
A.
Pakenham
chosen
Pakenham is a suburb in Melbourne, Victoria, Australia, known as a major outer-urban growth area and terminus of the metropolitan rail line of the same name.
-
B.
Pakenham
Pakenham is a rural village and civil parish in Suffolk, England, known for its historic watermill and windmill.
-
C.
Herston
Herston is a small settlement on the island of South Ronaldsay in Orkney, Scotland.
-
D.
Denistone
Denistone is a residential suburb in Sydney, New South Wales, known for its leafy streets, family-friendly atmosphere, and proximity to major transport links.
-
E.
Reynella
Reynella is a suburban locality in Adelaide, South Australia, known for its residential character and historical association with the region’s early wine industry.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ac126788190b51323bde3c9ba69 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.