Triple
T1082852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAT |
E23984
|
entity |
| Predicate | subjectTestsStatus |
P23741
|
FINISHED |
| Object | discontinued |
—
|
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: discontinued | Statement: [SAT, subjectTestsStatus, discontinued]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectTestsStatus Context triple: [SAT, subjectTestsStatus, discontinued]
-
A.
testTakers
Indicates that certain entities are individuals or groups who participate in taking a specific test or examination.
-
B.
testStatus
Indicates the current outcome or state of a test, such as whether it has passed, failed, or is still in progress.
-
C.
passedExam
Indicates that an entity has successfully met the required criteria to pass a particular exam.
-
D.
examProvider
Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
-
E.
achievementStatus
Indicates the current state or level of completion of an achievement-related goal or milestone for an entity.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95e56948190a1e92367ad7240b7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73f4310819086281f8ec67d1a32 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b80f0fb08190a19a50e38ae8f16c |
completed | March 1, 2026, 10:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.