Triple
T14115519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Gillard |
E339764
|
entity |
| Predicate | representedElectoralDistrict |
P15002
|
FINISHED |
| Object | Lalor |
E656861
|
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: Lalor | Statement: [Julia Gillard, representedElectoralDistrict, Lalor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lalor Context triple: [Julia Gillard, representedElectoralDistrict, Lalor]
-
A.
Lalor
chosen
Lalor is a suburban railway station in Melbourne, Australia, serving the local community on the metropolitan train network.
-
B.
Sculthorpe
Sculthorpe is a small village in Norfolk, England, known for its rural character and proximity to the market town of Fakenham.
-
C.
Willunga
Willunga is a historic township in South Australia known for its vineyards and role as a subregion within the renowned McLaren Vale wine-producing area.
-
D.
Loxton
Loxton is a rural town in South Australia's Riverland region, known for its irrigated agriculture, particularly citrus and grape production, and its location along the Murray River.
-
E.
Tooronga
Tooronga is a suburb in Melbourne, Victoria, Australia, known for its residential character and proximity to major shopping and transport hubs.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6010a03c81909f5f160f8d1fa8fa |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.