Triple
T37434369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander of the Faithful |
E930224
|
entity |
| Predicate | usedInSect |
P199218
|
FINISHED |
| Object | Sunni 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: Sunni Islam | Statement: [Commander of the Faithful, usedInSect, Sunni Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInSect Context triple: [Commander of the Faithful, usedInSect, Sunni Islam]
-
A.
usesSectionOf
Indicates that one entity makes use of a specific section or part of another entity.
-
B.
usedInAppendix
Indicates that something is used, referenced, or appears within an appendix section of a document or work.
-
C.
usedInPartOf
Indicates that something is utilized or plays a functional role within a specific component or subpart of a larger whole.
-
D.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
-
E.
usedInStructure
Indicates that something (such as a material, component, or element) is employed as part of the composition or construction of a larger structure.
- F. None of above. chosen
Provenance (4 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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
| PDg | Predicate description generation | batch_69ff263632608190a99beb73608066d8 |
completed | May 9, 2026, 12:19 p.m. |
Created at: May 3, 2026, 4:17 p.m.