Triple
T30031865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACT college entrance examination |
E763042
|
entity |
| Predicate | alsoAcceptedIn |
P168370
|
FINISHED |
| Object | some colleges outside the United States |
—
|
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: some colleges outside the United States | Statement: [ACT college entrance examination, alsoAcceptedIn, some colleges outside the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoAcceptedIn Context triple: [ACT college entrance examination, alsoAcceptedIn, some colleges outside the United States]
-
A.
acceptedIn
Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
-
B.
accreditedTo
Indicates that official recognition, authorization, or credit for something is granted by or associated with a particular entity.
-
C.
acceptedFor
Indicates that one entity has been approved or admitted to receive, participate in, or be associated with another entity.
-
D.
mayAlsoBeAccreditedTo
Indicates that the credit or attribution for something can additionally be assigned to another entity beyond the primary one.
-
E.
wasAccreditedIn
Indicates that an entity received official accreditation or certification in a specified year, date, or time period.
- F. None of above. chosen
Provenance (4 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f679afd2a88190856acb9e2d1f87d3 |
completed | May 2, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:50 p.m.