Triple
T3025635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medical College Admission Test |
E82568
|
entity |
| Predicate | medianTotalScore |
P27175
|
FINISHED |
| Object | approximately 500 |
—
|
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: approximately 500 | Statement: [Medical College Admission Test, medianTotalScore, approximately 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medianTotalScore Context triple: [Medical College Admission Test, medianTotalScore, approximately 500]
-
A.
medianEquals
chosen
Indicates that the median value of a given set or sequence is equal to a specified value.
-
B.
medianType
Indicates the type or form of a median used in a given context, such as in statistics, geometry, or transportation.
-
C.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
D.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
E.
quarterScores
Indicates the scores achieved in each quarter of a game, match, or period-based event.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abc78b48190a5283e7407a78fe7 |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.