Triple
T27403413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutherglen |
E691920
|
entity |
| Predicate | economicRoleInRegion |
P89201
|
FINISHED |
| Object | major wine tourism hub in North-East Victoria |
—
|
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: major wine tourism hub in North-East Victoria | Statement: [Rutherglen, economicRoleInRegion, major wine tourism hub in North-East Victoria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicRoleInRegion Context triple: [Rutherglen, economicRoleInRegion, major wine tourism hub in North-East Victoria]
-
A.
urbanRole
Indicates the function, status, or role that an entity holds within an urban or city context.
-
B.
socioeconomicRole
chosen
Indicates the social and economic position, function, or status an entity holds within a society or system.
-
C.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
-
D.
sectorEmploymentRole
Indicates the specific role or function an entity holds within a particular employment sector or industry.
-
E.
positionOnGovernmentRoleInEconomy
Indicates a stance or viewpoint regarding how much and in what ways the government should intervene or participate in the economy.
- 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 12:30 p.m.