Triple
T8317964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of Rome |
E194752
|
entity |
| Predicate | numberOfBooksSurvivingCompletely |
P5481
|
FINISHED |
| Object | 35 |
—
|
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: 35 | Statement: [History of Rome, numberOfBooksSurvivingCompletely, 35]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBooksSurvivingCompletely Context triple: [History of Rome, numberOfBooksSurvivingCompletely, 35]
-
A.
lostBooks
Indicates that certain books are missing, misplaced, or no longer in the possession of their expected owner or location.
-
B.
booksSurvivingCompletely
Indicates that the books in question have remained fully intact and unchanged, with no parts lost or damaged.
-
C.
booksSurvivingRange
Indicates that the books in question remained extant or available throughout a specified range of time or conditions.
-
D.
numberOfBooks
chosen
Indicates the quantity of books associated with a given entity.
-
E.
survivingCopiesOfFirstEdition
Indicates that the subject has or is associated with copies that remain extant from the first edition of a work.
- 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_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. |
Created at: March 30, 2026, 5:55 p.m.