Triple
T16416608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stirling (South Australia) |
E398703
|
entity |
| Predicate | stateElectorate |
P11212
|
FINISHED |
| Object | Heysen |
E1036360
|
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: Heysen | Statement: [Stirling (South Australia), stateElectorate, Heysen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heysen Context triple: [Stirling (South Australia), stateElectorate, Heysen]
-
A.
Heysen
chosen
Heysen is an electoral district in South Australia, named after the renowned landscape artist Sir Hans Heysen.
-
B.
Strzelecki
Strzelecki is a Polish surname most notably associated with explorer and geologist Paweł Edmund Strzelecki, after whom various geographical features in Australia are named.
-
C.
Tooronga
Tooronga is a suburb in Melbourne, Victoria, Australia, known for its residential character and proximity to major shopping and transport hubs.
-
D.
Tenambit
Tenambit is a residential suburb in the Lower Hunter Region of New South Wales, Australia, situated near the city of Maitland.
-
E.
Alwina
Alwina is the naive Tunisian shepherdess who becomes a sophisticated Parisian socialite in the 1935 French film "Princesse Tam-Tam."
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32877ff248190886717d3329421a7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6ca1bc8190a6c4f675ec8e3a53 |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.