Triple
T14477677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwabegar railway line |
E359014
|
entity |
| Predicate | connectsFrom |
P845
|
FINISHED |
| Object | Blacktown |
E343116
|
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: Blacktown | Statement: [Gwabegar railway line, connectsFrom, Blacktown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blacktown Context triple: [Gwabegar railway line, connectsFrom, Blacktown]
-
A.
Blacktown
chosen
Blacktown is a major suburban city and commercial hub in Western Sydney, New South Wales, Australia.
-
B.
Hurstville
Hurstville is a major commercial and residential suburb in southern Sydney, New South Wales, known as a key regional centre for shopping and transport.
-
C.
Marrickville
Marrickville is a diverse inner-western suburb of Sydney, Australia, known for its multicultural community, vibrant arts and food scene, and working-class roots.
-
D.
Erskineville
Erskineville is an inner-city suburb of Sydney, Australia, located in the Inner West and known for its village-like atmosphere, historic terraces, and diverse community.
-
E.
Burwood
Burwood is a suburb in Sydney’s Inner West known for its diverse community, busy commercial centre, and strong transport links to the city.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9248edb48190a74eb032aeaac027 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb7543f88190ac336c75188eb00a |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:20 a.m.