Triple
T24992214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PIRLS |
E625475
|
entity |
| Predicate | benchmarkLevels |
P157520
|
FINISHED |
| Object | high international benchmark |
—
|
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: high international benchmark | Statement: [PIRLS, benchmarkLevels, high international benchmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benchmarkLevels Context triple: [PIRLS, benchmarkLevels, high international benchmark]
-
A.
benchmarkLevels
chosen
Indicates a relationship where performance or quality is measured against defined standard levels or thresholds.
-
B.
benchmarkStatus
Indicates the current evaluation state or outcome of a benchmark process applied to an entity or system.
-
C.
measurementLevel
Indicates the degree or scale at which something is measured or quantified, such as its level, intensity, or magnitude.
-
D.
targetPerformanceLevel
Indicates the specific performance standard or level that an entity is expected or required to achieve.
-
E.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:04 a.m.