Triple
T34063803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Codex Calixtinus |
E873565
|
entity |
| Predicate | BookVSubject |
P97684
|
FINISHED |
| Object | routes to Santiago de Compostela |
—
|
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: routes to Santiago de Compostela | Statement: [Codex Calixtinus, BookVSubject, routes to Santiago de Compostela]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BookVSubject Context triple: [Codex Calixtinus, BookVSubject, routes to Santiago de Compostela]
-
A.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
-
B.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
C.
book3Subject
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
-
D.
book5Subject
chosen
Indicates that an entity serves as the subject (main topic or focus) of the fifth book in a series or collection.
-
E.
subjectOfBook1
Indicates that an entity is the main topic or focus that a particular book is about.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:52 a.m.