Triple
T20835756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijećnica |
E512954
|
entity |
| Predicate | numberOfManuscriptsDestroyedApprox |
P20104
|
FINISHED |
| Object | 30000 |
—
|
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: 30000 | Statement: [Vijećnica, numberOfManuscriptsDestroyedApprox, 30000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfManuscriptsDestroyedApprox Context triple: [Vijećnica, numberOfManuscriptsDestroyedApprox, 30000]
-
A.
numberOfManuscriptsApprox
chosen
Indicates an approximate count of manuscripts associated with an entity.
-
B.
copiedManuscriptsOf
Indicates that one entity has produced or created handwritten reproductions of the manuscripts belonging to another entity.
-
C.
manuscriptDiscoveredBy
Indicates that a manuscript was found or brought to light through the efforts or actions of a particular agent or entity.
-
D.
areManuscriptsOf
Indicates that the subject entities are manuscripts that are versions, copies, or instances of the work represented by the object entity.
-
E.
writtenInSameManuscriptAs
Indicates that two written works or textual items appear together within the same physical or digital manuscript.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c326daec8190bd4caa41a4b38833 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:42 p.m.