Triple
T37976515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libertarian Party presidential ticket, 2016 |
E947438
|
entity |
| Predicate | campaignCategory |
P672
|
FINISHED |
| Object | Third-party campaign in the United States |
—
|
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: Third-party campaign in the United States | Statement: [Libertarian Party presidential ticket, 2016, campaignCategory, Third-party campaign in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignCategory Context triple: [Libertarian Party presidential ticket, 2016, campaignCategory, Third-party campaign in the United States]
-
A.
campaignType
chosen
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
B.
sponsorCategoryName
Indicates the classification label or category assigned to a sponsor in a given context.
-
C.
campaignEventType
Indicates the specific kind of campaign-related event or activity that has occurred or is being recorded.
-
D.
campaignOrService
Indicates that one entity is a campaign and the other is a service that the campaign promotes, uses, or is associated with.
-
E.
campaignEvent
Indicates an organized activity or occurrence that is part of a broader campaign effort, such as a political, marketing, or advocacy initiative.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.