Triple
T14323425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electoral district of Riverina |
E355150
|
entity |
| Predicate | namedForCharacteristic |
P111871
|
FINISHED |
| Object | agricultural region of Riverina |
—
|
LITERAL 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: agricultural region of Riverina | Statement: [Electoral district of Riverina, namedForCharacteristic, agricultural region of Riverina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForCharacteristic Context triple: [Electoral district of Riverina, namedForCharacteristic, agricultural region of Riverina]
-
A.
hasNameCharacteristic
Indicates that an entity possesses a specific quality or attribute related to its name.
-
B.
namedForFeature
chosen
Indicates that one entity is named after, or derives its name from, a particular feature or characteristic of another entity.
-
C.
describesCharacteristicOf
Indicates that one entity expresses or specifies a characteristic, feature, or property of another entity.
-
D.
eraCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given historical or temporal era.
-
E.
namedFeature
Indicates that an entity has a specific feature or attribute that is explicitly given a name.
- F. None of above.
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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883d1de88190a1e2bf2f1b692197 |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.