Triple
T27251542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BookTrust |
E687498
|
entity |
| Predicate | BookbuzzFocus |
P162280
|
FINISHED |
| Object | secondary school reading for pleasure |
—
|
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: secondary school reading for pleasure | Statement: [BookTrust, BookbuzzFocus, secondary school reading for pleasure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BookbuzzFocus Context triple: [BookTrust, BookbuzzFocus, secondary school reading for pleasure]
-
A.
book2Focus
Indicates that attention, interest, or emphasis is directed toward a particular book.
-
B.
Book1Focus
Indicates that the primary attention, emphasis, or thematic concentration is placed on the first book in a set or sequence.
-
C.
book4Focus
Indicates that something is the primary subject or focal point of a book or written work.
-
D.
book9Focus
Indicates that attention, emphasis, or primary focus is directed toward the book identified as book9.
-
E.
focusOfBookI
Indicates that something is the main subject or central topic discussed in the first book of a work.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f622a8fe7c819096e8a43db263a423 |
completed | May 2, 2026, 4:13 p.m. |
Created at: April 27, 2026, 10:45 a.m.