Triple
T404896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Living Translation |
E9361
|
entity |
| Predicate | readingLevel |
P2406
|
FINISHED |
| Object | approximately middle-school level |
—
|
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 middle-school level | Statement: [New Living Translation, readingLevel, approximately middle-school level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readingLevel Context triple: [New Living Translation, readingLevel, approximately middle-school level]
-
A.
literacyStatus
Indicates whether an entity possesses the ability to read and write, or its level of literacy.
-
B.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
C.
orderGradeLevel
Indicates the relative sequencing or ranking of grade levels, specifying which grade comes before or after another.
-
D.
difficulty
chosen
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
-
E.
readership
Indicates the relationship in which one party reads, follows, or is the audience for the written or published work of another.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca37fe881909802126952dfdd59 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e97066e8819083cc1b3a421b9650 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.