Triple
T35184775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of the Roses |
E1015954
|
entity |
| Predicate | hasPrintedMessages |
P204286
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Our Lady of the Roses, hasPrintedMessages, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrintedMessages Context triple: [Our Lady of the Roses, hasPrintedMessages, yes]
-
A.
isPrinted
Indicates that a physical copy of an item has been produced using a printing process.
-
B.
hasPresented
Indicates that one entity has formally given, delivered, or shown something (such as information, a work, or an award) to another entity.
-
C.
printedFor
Indicates that one entity produced a printed version of something specifically intended for another entity as the recipient or audience.
-
D.
hasPrintVersion
Indicates that one entity exists or is available as a printed or physical edition of another entity.
-
E.
hasLanguagePrinting
Indicates that an entity produces printed materials in a specified language.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0361c6d76481909332b28ab01b0ef7 |
completed | May 12, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_6a0360b3818c819084bbecf705475f4f |
completed | May 12, 2026, 5:17 p.m. |
| PDg | Predicate description generation | batch_6a0361c626648190a6bcdf95fc889e3f |
completed | May 12, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:02 p.m.