Triple
T15282714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shah |
E365310
|
entity |
| Predicate | appearsInReligionContext |
P31425
|
FINISHED |
| Object | Islamic monarchy |
—
|
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: Islamic monarchy | Statement: [Shah, appearsInReligionContext, Islamic monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInReligionContext Context triple: [Shah, appearsInReligionContext, Islamic monarchy]
-
A.
appearsInReligion
chosen
Indicates that one entity is featured, referenced, or plays a role within the religious context, texts, or traditions associated with another entity.
-
B.
originReligionContext
Indicates the religious background or setting from which something or someone originates or is derived.
-
C.
typicalReligionContext
Indicates the usual or most common religious setting, tradition, or affiliation associated with an entity or situation.
-
D.
usedInReligiousTextsOf
Indicates that something (such as a concept, term, or symbol) appears within and is employed in the religious texts associated with a particular religion or tradition.
-
E.
religiousCulturalContext
Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e51f82081909f63d14b589d5587 |
completed | April 15, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.