Triple
T34063802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Codex Calixtinus |
E873565
|
entity |
| Predicate | BookVInstanceOf |
P178193
|
FINISHED |
| Object | pilgrim guidebook |
—
|
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: pilgrim guidebook | Statement: [Codex Calixtinus, BookVInstanceOf, pilgrim guidebook]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BookVInstanceOf Context triple: [Codex Calixtinus, BookVInstanceOf, pilgrim guidebook]
-
A.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
B.
book1Contains
Indicates that one book includes, encloses, or has as part of its content another specified element or section.
-
C.
isCoverOf
Indicates that one entity functions as a protective or enclosing layer placed over another entity.
-
D.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
E.
bookOwnershipModel
Indicates a relationship where the model captures or represents how ownership of books is assigned, structured, or managed between entities.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:52 a.m.