Triple
T30107581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poem 7 (Quaeris quot mihi basiationes) |
E765173
|
entity |
| Predicate | numberInCatullusCorpus |
P202022
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Poem 7 (Quaeris quot mihi basiationes), numberInCatullusCorpus, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInCatullusCorpus Context triple: [Poem 7 (Quaeris quot mihi basiationes), numberInCatullusCorpus, 7]
-
A.
numberOfSonnets
Indicates the quantity of sonnets associated with a given entity.
-
B.
numberOfCantos
Indicates the total count of cantos associated with a given work or entity.
-
C.
containsNumberOfPoems
Indicates that one entity includes or specifies a particular quantity of poems associated with it.
-
D.
numberOfBooksInElegies
Indicates the total count of books contained within the work titled "Elegies."
-
E.
workNumberInCarminaBurana
Indicates that the entity is identified by a specific work number within the collection *Carmina Burana*.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00474f08908190bc8ae3b320ec887b |
completed | May 10, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_6a0045dc3bd48190a9e0520f3ef3f067 |
completed | May 10, 2026, 8:46 a.m. |
| PDg | Predicate description generation | batch_6a00474e552c8190b711363081d29292 |
completed | May 10, 2026, 8:52 a.m. |
Created at: April 29, 2026, 7:09 p.m.