Triple
T28958055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colour the Small One |
E731818
|
entity |
| Predicate | laterReleaseCountry |
P21825
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Colour the Small One, laterReleaseCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterReleaseCountry Context triple: [Colour the Small One, laterReleaseCountry, United States]
-
A.
reReleasedInCountry
Indicates that a previously released work was released again in a specified country.
-
B.
laterAvailableInCountry
chosen
Indicates that something becomes available in a specified country at a later time than in other regions or than its initial release.
-
C.
laterReleased
Indicates that one entity was released at a time chronologically after the release of another entity.
-
D.
laterReleasedIn
Indicates that one entity was released at a later time or date than another entity, establishing a chronological order between their release events.
-
E.
laterReleaseYear
Indicates that the release year of one entity occurs after the release year of another entity.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: April 28, 2026, 8:48 a.m.