Triple
T34554475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymond of Toledo |
E887163
|
entity |
| Predicate | roleInToledoSchoolOfTranslators |
P4140
|
FINISHED |
| Object | organizer |
—
|
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: organizer | Statement: [Raymond of Toledo, roleInToledoSchoolOfTranslators, organizer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInToledoSchoolOfTranslators Context triple: [Raymond of Toledo, roleInToledoSchoolOfTranslators, organizer]
-
A.
roleInBabel
Indicates that an entity participates in the Babel project or system with a specific role or function.
-
B.
eraOfTranslation
Indicates the historical period or era during which a given work was translated.
-
C.
hasEducationalRole
chosen
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
D.
languageOfTeachings
Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
-
E.
givenByTranslatorTo
Indicates a transfer or provision of something from a translator to another party.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00ca5e907481909d391afd55938a1b |
completed | May 10, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_6a00ca2214348190a674a85ede709e2e |
completed | May 10, 2026, 6:10 p.m. |
Created at: May 1, 2026, 2:02 a.m.