Triple
T35920114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De motu stellarum |
E1038856
|
entity |
| Predicate | hasAuthorNameInLatin |
P76738
|
FINISHED |
| Object | Albategnius |
—
|
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: Albategnius | Statement: [De motu stellarum, hasAuthorNameInLatin, Albategnius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorNameInLatin Context triple: [De motu stellarum, hasAuthorNameInLatin, Albategnius]
-
A.
hasLatinName
Indicates that an entity is associated with a specific Latin (scientific) name.
-
B.
hasLatinizedName
chosen
Indicates that an entity is associated with a version of its name that has been converted into Latin form or spelling.
-
C.
hasLatinTitle
Indicates that an entity possesses a title or name expressed in Latin.
-
D.
hasAuthorSurname
Indicates that an entity (such as a work or publication) has an associated author whose family name is the specified surname.
-
E.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 3, 2026, 4:07 p.m.