Triple
T24295124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Egyptians Party |
E605937
|
entity |
| Predicate | politicalPositionOnReligion |
P7601
|
FINISHED |
| Object | separation of religion and state |
—
|
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: separation of religion and state | Statement: [Free Egyptians Party, politicalPositionOnReligion, separation of religion and state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalPositionOnReligion Context triple: [Free Egyptians Party, politicalPositionOnReligion, separation of religion and state]
-
A.
positionInReligion
Indicates the specific role, rank, or office an entity holds within a religious organization or tradition.
-
B.
positionOnStateReligion
Indicates a stance or viewpoint regarding the role, status, or legitimacy of an official state religion.
-
C.
religionPolicy
chosen
Indicates the stance, rules, or approach an entity adopts toward religious beliefs, practices, or institutions.
-
D.
religiousAttitude
Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
-
E.
positionOnOtherReligions
Indicates a stance, attitude, or policy that one entity holds toward other religions or religious traditions.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f291593c0881908a6827f0d8899fe6 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.