Triple
T10258959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavier quartos |
E240544
|
entity |
| Predicate | areFormat |
P130
|
FINISHED |
| Object | quarto |
—
|
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: quarto | Statement: [Pavier quartos, areFormat, quarto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areFormat Context triple: [Pavier quartos, areFormat, quarto]
-
A.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
B.
overseesFormat
Indicates that one entity is responsible for supervising, managing, or controlling the format or formatting standards of another entity.
-
C.
relatedFormat
Indicates that two resources are available in different but closely related formats or media representations of essentially the same content.
-
D.
packageFormat
Indicates the format or type in which a package is structured, encoded, or delivered.
-
E.
isFormedFor
Indicates that something is created, established, or brought into existence for a particular purpose, function, or beneficiary.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:31 a.m.