Triple
T24078666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year Zero |
E596447
|
entity |
| Predicate | hasAssociatedWebsite |
P127704
|
FINISHED |
| Object | in-universe propaganda sites |
—
|
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: in-universe propaganda sites | Statement: [Year Zero, hasAssociatedWebsite, in-universe propaganda sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedWebsite Context triple: [Year Zero, hasAssociatedWebsite, in-universe propaganda sites]
-
A.
hasCompanionWebsite
Indicates that something is associated with or supported by a dedicated companion website.
-
B.
associatedWebsite
chosen
Indicates that one entity has a related or officially connected website represented by the other entity.
-
C.
hasCampaignWebsite
Indicates that an entity (typically a political candidate or campaign) is associated with a specific official campaign website.
-
D.
hasPublisherWebsite
Indicates that an entity is associated with the official website of its publisher.
-
E.
hasBrandWebsite
Indicates that an entity has an associated official website representing its brand.
- 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db1f4c98819089a0e470593baf5b |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:43 p.m.