Triple
T28278985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mudar |
E713086
|
entity |
| Predicate | religionAfterIslam |
P10604
|
FINISHED |
| Object | Islam |
—
|
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: Islam | Statement: [Mudar, religionAfterIslam, Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionAfterIslam Context triple: [Mudar, religionAfterIslam, Islam]
-
A.
ethnicReligion
Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
-
B.
otherReligion
Indicates that one entity follows or is associated with a religion that is different from the religion of another entity.
-
C.
otherMajorReligion
Indicates that an entity’s primary religious affiliation is a major religion other than the one currently in focus or being referenced.
-
D.
laterReligion
chosen
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
-
E.
otherRivalReligion
Indicates that one entity follows or is associated with a religion that is a rival or competing faith to the religion associated with another entity.
- 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_69efb52275788190ae5181ccebef18ce |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 27, 2026, 11:21 p.m.