Triple
T17503428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talbingo Dam |
E426249
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Talbingo |
—
|
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: Talbingo | Statement: [Talbingo Dam, nearestTown, Talbingo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talbingo Context triple: [Talbingo Dam, nearestTown, Talbingo]
-
A.
Talbingo
chosen
Talbingo is a small town in New South Wales, Australia, located near the Snowy Mountains and associated with the Snowy Mountains Hydro-Electric Scheme.
-
B.
Gilgandra
Gilgandra is a rural town in New South Wales, Australia, known as a service and agricultural centre on the western plains.
-
C.
Bundarra
Bundarra is a small rural town in the New England region of New South Wales, Australia, known for its historic buildings and surrounding agricultural countryside.
-
D.
Karumba
Karumba is a small coastal town and fishing port in Queensland, Australia, known for its prawn and barramundi industries and sunsets over the Gulf of Carpentaria.
-
E.
Tumbarumba
Tumbarumba is a small rural town in the Snowy Mountains region of New South Wales, Australia, known for its timber industry, cool-climate vineyards, and proximity to alpine landscapes.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45213a0e88190ac183d87ec088e86 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.