Triple
T38154756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharq al-Andalus |
E952854
|
entity |
| Predicate | religionDominantDuringRule |
P2986
|
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: [Sharq al-Andalus, religionDominantDuringRule, Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionDominantDuringRule Context triple: [Sharq al-Andalus, religionDominantDuringRule, Islam]
-
A.
hasPrimaryReligionOfRulers
Indicates that the specified religion is the main or official faith practiced or endorsed by the rulers of an entity.
-
B.
dominantReligionLegacy
Indicates that a historically dominant religion has left a lasting influence or heritage on a society, culture, or region.
-
C.
religionOfConquerors
Indicates that the specified religion is practiced or upheld by the conquering group or power in a given context.
-
D.
laterReligionDominant
Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
-
E.
dominantReligion
chosen
Indicates the religion that holds primary or majority status within a given group, region, or 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a004b6ad4248190b402a0d01b0ebf83 |
completed | May 10, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_6a004ae736b881908a0efed8f63f982e |
completed | May 10, 2026, 9:07 a.m. |
Created at: May 3, 2026, 4:21 p.m.