Triple
T37799057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob |
E942316
|
entity |
| Predicate | isConnectedToReligion |
P27867
|
FINISHED |
| Object | Judaism |
—
|
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: Judaism | Statement: [Jacob, isConnectedToReligion, Judaism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConnectedToReligion Context triple: [Jacob, isConnectedToReligion, Judaism]
-
A.
isCentralToReligion
Indicates that something plays a core, defining, or foundational role within a particular religion or religious tradition.
-
B.
relationshipToReligion
Indicates the nature or type of connection an entity has to a religion, such as affiliation, stance, or involvement.
-
C.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
D.
hasAssociatedReligion
chosen
Indicates that an entity is connected with or linked to a particular religion.
-
E.
associatedReligionOrBelief
Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
- 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_69f76ee6f1f4819091e2cf9c9e6aee19 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.