Triple
T35421756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanilla Fortress |
E1023813
|
entity |
| Predicate | regionOfRelease |
P35878
|
FINISHED |
| Object | North America |
—
|
NE NERFINISHED |
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: North America | Statement: [Vanilla Fortress, regionOfRelease, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfRelease Context triple: [Vanilla Fortress, regionOfRelease, North America]
-
A.
releaseRegion
chosen
Indicates the geographic or jurisdictional area in which something (such as a product, service, or content) is made available or officially released.
-
B.
countryOfRelease
Indicates the country in which an item (such as a product, work, or media) was officially released.
-
C.
reReleasedInCountry
Indicates that a previously released work was released again in a specified country.
-
D.
continentOfPublication
Indicates the continent on which the publication was produced or released.
-
E.
filmRegion
Indicates the geographic region or market in which a film is released, distributed, or primarily associated.
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffc3f0b19c8190b5a749bc3cad21dd |
completed | May 9, 2026, 11:32 p.m. |
| PD | Predicate disambiguation | batch_69ffc1b882808190932b2d43ea5537c9 |
completed | May 9, 2026, 11:22 p.m. |
Created at: May 3, 2026, 4:03 p.m.