Triple
T4466273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubbo |
E98384
|
entity |
| Predicate | electoralDivisionFederal |
P1566
|
FINISHED |
| Object | Parkes |
E78089
|
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: Parkes | Statement: [Dubbo, electoralDivisionFederal, Parkes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parkes Context triple: [Dubbo, electoralDivisionFederal, Parkes]
-
A.
Parkes
chosen
Parkes is a regional town in central New South Wales, Australia, best known for its nearby radio telescope and annual Elvis Presley Festival.
-
B.
Parkes
Parkes is a central Canberra suburb in the Australian Capital Territory known for housing many of the nation’s key parliamentary and cultural institutions.
-
C.
Parkes region
The Parkes region is an area of central New South Wales, Australia, known for its rural communities, agricultural production, and the iconic Parkes radio telescope.
-
D.
Harwood
Harwood is an English-language surname borne by various notable individuals across fields such as the military, arts, and politics.
-
E.
Williamtown
Williamtown is a locality in New South Wales, Australia, best known for hosting Newcastle Airport and the RAAF Base Williamtown military air base.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356991a588190be2f95fd957d7f99 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b62860151c8190b43465537b154f00 |
completed | March 15, 2026, 3:32 a.m. |
Created at: March 12, 2026, 11:34 p.m.