Triple
T24992208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PIRLS |
E625475
|
entity |
| Predicate | subscale |
P80213
|
FINISHED |
| Object | literary reading |
—
|
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: literary reading | Statement: [PIRLS, subscale, literary reading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subscale Context triple: [PIRLS, subscale, literary reading]
-
A.
subtleInDimension
Indicates that one entity differs from another only slightly or imperceptibly along a particular dimension or aspect.
-
B.
subtheme
Indicates that one topic or concept functions as a more specific, subordinate theme within a broader overarching theme.
-
C.
subMode
chosen
Indicates a more specific or subordinate mode that falls under or refines a broader, parent mode within a hierarchy of modes.
-
D.
subtitle
Indicates that one work serves as a secondary or explanatory title to another, typically appearing beneath the main title.
-
E.
miniaturizedIn
Indicates that one entity exists as a smaller-scale or reduced-size version within or relative to another entity.
- 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_69f44a4639e8819090ce27c835eec2f0 |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:04 a.m.