Triple
T8803335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ptolemaios |
E209462
|
entity |
| Predicate | tetrabiblosSubject |
P450
|
FINISHED |
| Object | astrology and its theoretical foundations |
—
|
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: astrology and its theoretical foundations | Statement: [Ptolemaios, tetrabiblosSubject, astrology and its theoretical foundations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tetrabiblosSubject Context triple: [Ptolemaios, tetrabiblosSubject, astrology and its theoretical foundations]
-
A.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
B.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
-
C.
book3Subject
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
-
D.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
E.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fbb5b108190a9f889d40aa20521 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:44 p.m.