Triple
T4096865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I quattro libri dell’architettura |
E87841
|
entity |
| Predicate | book4Focus |
P53356
|
FINISHED |
| Object | Roman temples |
—
|
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: Roman temples | Statement: [I quattro libri dell’architettura, book4Focus, Roman temples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: book4Focus Context triple: [I quattro libri dell’architettura, book4Focus, Roman temples]
-
A.
book2Focus
Indicates that attention, interest, or emphasis is directed toward a particular book.
-
B.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
C.
book5Content
Indicates that one entity is the content or textual material contained within the book represented by the other entity.
-
D.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
E.
book4Title
Indicates that an entity is the title associated with a specific book identified as “book4.”
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcdef11081908c626a89f2c0e121 |
completed | March 9, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa5c52648190b001027f4dba75cb |
completed | March 9, 2026, 4:50 p.m. |
Created at: March 9, 2026, 3:40 p.m.