Triple
T28278818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1903 Australian federal election |
E713082
|
entity |
| Predicate | campaignIssuesInclude |
P166477
|
FINISHED |
| Object | tariff policy |
—
|
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: tariff policy | Statement: [1903 Australian federal election, campaignIssuesInclude, tariff policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignIssuesInclude Context triple: [1903 Australian federal election, campaignIssuesInclude, tariff policy]
-
A.
politicalIssueFor
Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given entity.
-
B.
politicalIssueIn
Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
-
C.
politicalProgramIncludes
Indicates that a political program contains, encompasses, or explicitly incorporates a particular policy, measure, or component.
-
D.
mediaStance
Indicates the position, attitude, or bias that a media source expresses toward a subject, event, or entity.
-
E.
politicalInterest
Indicates that an entity has an interest, concern, or engagement in political matters, issues, or activities.
- 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_69efb52275788190ae5181ccebef18ce |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 27, 2026, 11:21 p.m.