Triple
T8317963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of Rome |
E194752
|
entity |
| Predicate | numberOfBooksOriginally |
P5481
|
FINISHED |
| Object | 142 |
—
|
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: 142 | Statement: [History of Rome, numberOfBooksOriginally, 142]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBooksOriginally Context triple: [History of Rome, numberOfBooksOriginally, 142]
-
A.
numberOfBooks
chosen
Indicates the quantity of books associated with a given entity.
-
B.
numberOfCompletedBooks
Indicates the total count of books that an entity has finished reading or completing.
-
C.
hasThreeBooksWith
Indicates that two entities are related by one having exactly three books together with the other (e.g., jointly owned, shared, or associated as a group of three books).
-
D.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
E.
numberOfWorks
Indicates the total count of works associated with a given entity.
- 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.