Triple
T5629079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DialogueWithChristiansOfNajran |
E147790
|
entity |
| Predicate | interpretiveUse |
P63697
|
FINISHED |
| Object | basis for Muslim–Christian dialogue |
—
|
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: basis for Muslim–Christian dialogue | Statement: [DialogueWithChristiansOfNajran, interpretiveUse, basis for Muslim–Christian dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretiveUse Context triple: [DialogueWithChristiansOfNajran, interpretiveUse, basis for Muslim–Christian dialogue]
-
A.
interpretiveStatus
Indicates the evaluative or explanatory stance assigned to something, such as how it is understood, classified, or interpreted within a given context.
-
B.
interpretiveRole
chosen
Indicates that one entity serves as an interpretive function or perspective through which another entity is understood, explained, or given meaning.
-
C.
interpretationMethod
Indicates the method, technique, or process used to interpret or derive meaning from something.
-
D.
interpretedInCase
Indicates that something is understood, analyzed, or given meaning within the context of a particular case or specific situational scenario.
-
E.
interpretedFor
Indicates that one entity has been interpreted, translated, or explained on behalf of or for the benefit of 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0223b1e54819099fe5fc84ed17a88 |
completed | March 22, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69c01b1d4b108190846ce586dc783acf |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:40 p.m.