Triple
T23751962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valerius Flaccus |
E586993
|
entity |
| Predicate | workBooksCount |
P5481
|
FINISHED |
| Object | Argonautica has 8 books (extant) |
—
|
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: Argonautica has 8 books (extant) | Statement: [Valerius Flaccus, workBooksCount, Argonautica has 8 books (extant)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workBooksCount Context triple: [Valerius Flaccus, workBooksCount, Argonautica has 8 books (extant)]
-
A.
numberOfBooks
chosen
Indicates the quantity of books associated with a given entity.
-
B.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
C.
approximateNumberOfWorks
Indicates an estimated or roughly calculated count of works associated with an entity.
-
D.
numberOfCompletedBooks
Indicates the total count of books that an entity has finished reading or completing.
-
E.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
- 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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcc289e08190a8036bb16dd0220a |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:13 p.m.