Triple
T26240654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mildura–Sydney |
E656302
|
entity |
| Predicate | destinationCapitalOf |
P160390
|
FINISHED |
| Object | New South Wales |
—
|
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: New South Wales | Statement: [Mildura–Sydney, destinationCapitalOf, New South Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: destinationCapitalOf Context triple: [Mildura–Sydney, destinationCapitalOf, New South Wales]
-
A.
hostsCapitalOf
Indicates that one location serves as the capital city of another administrative or political entity.
-
B.
countryCapitalOf
Indicates that a country serves as the capital location for a specified political or geographic entity.
-
C.
countryCapitalContext
Indicates that one entity serves as the capital city of the specified country in a given contextual or temporal setting.
-
D.
capitalOfFrom
Indicates that a city serves or served as the capital of a specified political entity during a particular time or from a particular source context.
-
E.
countryCapitalRelation
Indicates that one entity is the capital city of the country represented by the other entity.
- F. None of above. chosen
Provenance (4 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60d8e81548190be9ff4ab11414a49 |
completed | May 2, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 9:03 p.m.