Triple
T27251544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BookTrust |
E687498
|
entity |
| Predicate | TimeToReadFocus |
P106
|
FINISHED |
| Object | transition to primary school 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: transition to primary school reading | Statement: [BookTrust, TimeToReadFocus, transition to primary school reading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TimeToReadFocus Context triple: [BookTrust, TimeToReadFocus, transition to primary school reading]
-
A.
stayDurationFocus
Indicates the length of time an entity remains at or engaged with a particular place, activity, or context as the primary focus.
-
B.
screenTimeFocus
Indicates the amount or proportion of time an entity’s attention or activity is concentrated on a particular screen or digital display.
-
C.
focusPeriod
chosen
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
-
D.
focusTheory
Indicates that one entity serves as the primary theoretical framework, perspective, or model that another entity is based on, organized around, or chiefly concerned with.
-
E.
timeToControl
Indicates the amount of time required for an entity to gain or establish control over another entity, process, or situation.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f626b5b99081908d173630fade1f36 |
completed | May 2, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 10:45 a.m.