Triple
T32339270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contra Grammaticum |
E826262
|
entity |
| Predicate | originalTitleType |
P203522
|
FINISHED |
| Object | conventional modern title |
—
|
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: conventional modern title | Statement: [Contra Grammaticum, originalTitleType, conventional modern title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTitleType Context triple: [Contra Grammaticum, originalTitleType, conventional modern title]
-
A.
originalTitleName
Indicates that one entity is the original or primary title name associated with another entity.
-
B.
originalTitleUsedIn
Indicates that an entity’s original title is used in or associated with a particular work, edition, or context.
-
C.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
-
D.
originalTitleStatus
Indicates whether a work’s title is the original one or has been altered, translated, or otherwise modified from its initial form.
-
E.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a019b8995dc819088727aa023beadce |
completed | May 11, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_6a01961bb748819096a941f1b5443908 |
completed | May 11, 2026, 8:40 a.m. |
| PDg | Predicate description generation | batch_6a019b88bbc88190924c1f0cdea6dd79 |
completed | May 11, 2026, 9:04 a.m. |
Created at: May 1, 2026, 12:48 a.m.