Triple
T22882127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern suburbs of Melbourne |
E567502
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Templestowe |
—
|
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: Templestowe | Statement: [Eastern suburbs of Melbourne, contains, Templestowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Templestowe Context triple: [Eastern suburbs of Melbourne, contains, Templestowe]
-
A.
Templestowe
chosen
Templestowe is a residential suburb in Melbourne, Victoria, known for its leafy streets, large family homes, and proximity to the Yarra River and parklands.
-
B.
Broadmeadows
Broadmeadows is a suburb in Melbourne, Australia, known as a residential and commercial hub in the city's northern area.
-
C.
Thornhurst
Thornhurst is an English surname historically associated with families in Britain.
-
D.
Sunningdale
Sunningdale is an affluent village in Berkshire, England, known for its prestigious golf courses and leafy residential character.
-
E.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5cd98c8190b3c31ffd4c066331 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.