Triple
T27251540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BookTrust |
E687498
|
entity |
| Predicate | BookstartFocus |
P162528
|
FINISHED |
| Object | early years 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: early years reading | Statement: [BookTrust, BookstartFocus, early years reading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BookstartFocus Context triple: [BookTrust, BookstartFocus, early years reading]
-
A.
book4Focus
Indicates that something is the primary subject or focal point of a book or written work.
-
B.
Book3Focus
Indicates that the primary topic or emphasis of the third book in a series is centered on the referenced entity or concept.
-
C.
book2Focus
Indicates that attention, interest, or emphasis is directed toward a particular book.
-
D.
book9Focus
Indicates that attention, emphasis, or primary focus is directed toward the book identified as book9.
-
E.
book7Focus
Indicates that a particular book is the primary focus or central subject of attention in a given context.
- 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_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f625402d808190be8279d895d2b27f |
completed | May 2, 2026, 4:24 p.m. |
Created at: April 27, 2026, 10:45 a.m.