Triple
T8317885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgics |
E194750
|
entity |
| Predicate | Book1Focus |
P81905
|
FINISHED |
| Object | arable farming and weather signs |
—
|
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: arable farming and weather signs | Statement: [Georgics, Book1Focus, arable farming and weather signs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Book1Focus Context triple: [Georgics, Book1Focus, arable farming and weather signs]
-
A.
book2Focus
Indicates that attention, interest, or emphasis is directed toward a particular book.
-
B.
book4Focus
Indicates that something is the primary subject or focal point of a book or written work.
-
C.
book12Focus
Indicates that a particular book (or book-related element) is the primary focus or subject of attention in context 12.
-
D.
book6Focus
Indicates that attention, emphasis, or primary focus is directed toward the sixth book in a sequence or collection.
-
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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f630ea881909fb639383e60aee9 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 5:55 p.m.