Triple
T16148386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GRE Literature in English Test |
E391844
|
entity |
| Predicate | knowledgeLevelAssessed |
P121318
|
FINISHED |
| Object | undergraduate major in English |
—
|
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: undergraduate major in English | Statement: [GRE Literature in English Test, knowledgeLevelAssessed, undergraduate major in English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowledgeLevelAssessed Context triple: [GRE Literature in English Test, knowledgeLevelAssessed, undergraduate major in English]
-
A.
assessmentLevel
Indicates the degree, rating, or intensity assigned to an evaluation or judgment of something.
-
B.
skillAssessed
Indicates that an entity’s skill or competency has been evaluated or measured, typically by another agent or process.
-
C.
certificationLevel
Indicates the specific rank or degree of formal qualification or authorization that an entity has achieved within a defined certification system.
-
D.
knowledgeType
Indicates the specific category or nature of knowledge associated with an entity or statement (e.g., factual, procedural, conceptual).
-
E.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9551e081908391061b092ff31b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1835b64948190ae1d2a9d4cc64acf |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 5:01 a.m.