Triple
T28135430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | April Morning |
E714187
|
entity |
| Predicate | setInPresentDayCountry |
P117234
|
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: [April Morning, setInPresentDayCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setInPresentDayCountry Context triple: [April Morning, setInPresentDayCountry, United States]
-
A.
isLocatedInPresentDayCountry
Indicates that an entity’s location is specified in terms of the modern, currently recognized country that encompasses it.
-
B.
tookPlaceInPresentDayCountry
Indicates that an event or occurrence happened within the geographic area of the country as it is defined in the present day.
-
C.
compiledInPresentDayCountry
Indicates that something was compiled within the geographic area corresponding to a specified modern-day country.
-
D.
usedInPresentDayCountry
Indicates that something is currently utilized or occurs within the boundaries of a specified modern-day country.
-
E.
isSetInCountry
chosen
Indicates that something (such as an event, story, or scene) takes place within the geographical or political boundaries of a specified country.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 9:49 p.m.