Triple
T25223000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Indis |
E632012
|
entity |
| Predicate | authorFrom |
P55015
|
FINISHED |
| Object | School of Salamanca |
—
|
NE NERFINISHED |
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: School of Salamanca | Statement: [De Indis, authorFrom, School of Salamanca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorFrom Context triple: [De Indis, authorFrom, School of Salamanca]
-
A.
authorOrigin
chosen
Indicates that an author has a specific place, region, or country as their origin or background.
-
B.
authorName
Indicates the name associated with the person or entity that authored a given work or resource.
-
C.
authorType
Indicates the specific role or category of authorship associated with an entity, such as primary author, co-author, or editor.
-
D.
authorPublished
Indicates that an author has published a particular work (such as a book, article, or paper).
-
E.
authorFounded
Indicates that the author is the person who established or created the referenced organization, institution, or entity.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 21, 2026, 1:03 p.m.