Triple
T28903777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Effie Awards Latin America |
E733018
|
entity |
| Predicate | typeOfCampaigns |
P672
|
FINISHED |
| Object | integrated campaigns |
—
|
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: integrated campaigns | Statement: [Effie Awards Latin America, typeOfCampaigns, integrated campaigns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCampaigns Context triple: [Effie Awards Latin America, typeOfCampaigns, integrated campaigns]
-
A.
campaignType
chosen
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
B.
campaignEventType
Indicates the specific kind of campaign-related event or activity that has occurred or is being recorded.
-
C.
testCampaign
Indicates that an entity is involved in or associated with a campaign conducted for testing, experimentation, or evaluation purposes.
-
D.
majorCampaignType
Indicates the primary category or classification of a campaign within a broader set of campaign types.
-
E.
hasOrganizingCampaignType
Indicates that an entity is associated with a specific type or category of organizing campaign.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
Created at: April 28, 2026, 8:05 a.m.