Triple
T7066758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Governorate |
E164371
|
entity |
| Predicate | religionCommunity |
P52189
|
FINISHED |
| Object | Sunni Muslim |
—
|
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: Sunni Muslim | Statement: [South Governorate, religionCommunity, Sunni Muslim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionCommunity Context triple: [South Governorate, religionCommunity, Sunni Muslim]
-
A.
religionCommon
Indicates that the related entities share the same religion or religious affiliation.
-
B.
subjectReligion
chosen
Indicates that the subject is associated with, practices, or adheres to a particular religion.
-
C.
religionOrBelief
Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
-
D.
religiousGroupMentioned
Indicates that a religious group is referenced or mentioned in the given context or statement.
-
E.
religiousTopicAddressed
Indicates that a subject deals with, discusses, or focuses on a religious theme, issue, or question.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a737dc8190add7f0228cb28111 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:39 p.m.