Triple
T33938611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Use of the Astrolabe |
E870099
|
entity |
| Predicate | religiousBackgroundOfAuthor |
P197169
|
FINISHED |
| Object | Christian |
—
|
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: Christian | Statement: [On the Use of the Astrolabe, religiousBackgroundOfAuthor, Christian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousBackgroundOfAuthor Context triple: [On the Use of the Astrolabe, religiousBackgroundOfAuthor, Christian]
-
A.
creatorReligiousAffiliation
chosen
Indicates the religious affiliation or tradition with which a creator is associated.
-
B.
religiousBackgroundOfBase
Indicates the religious background or affiliation associated with a given base or primary entity.
-
C.
religiousBackgroundOfCommunity
Indicates the religious tradition, affiliation, or belief system that characterizes or predominates within a particular community.
-
D.
religiousFamilyBackground
Indicates that two entities are related through a shared or specified religious family upbringing or heritage.
-
E.
formerReligiousAffiliation
Indicates that an entity previously adhered to a particular religion or religious denomination but no longer does so.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
Created at: May 1, 2026, 1:49 a.m.