Triple
T32001902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacPherson |
E817153
|
entity |
| Predicate | originalMeaningContext |
P102770
|
FINISHED |
| Object | church and religious offices in Scotland |
—
|
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: church and religious offices in Scotland | Statement: [MacPherson, originalMeaningContext, church and religious offices in Scotland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalMeaningContext Context triple: [MacPherson, originalMeaningContext, church and religious offices in Scotland]
-
A.
originalMeaning
Indicates that something retains or conveys its initial, intended sense or significance, as opposed to a later or altered interpretation.
-
B.
meaningInContext
chosen
Indicates that one entity represents or conveys a particular meaning, interpretation, or sense within a specific context or situation.
-
C.
originalLanguageContext
Indicates the language in which something was first created or expressed, providing the original linguistic context for its content or meaning.
-
D.
backgroundMeaning
Indicates that one entity provides contextual or underlying information that influences the interpretation or significance of another entity.
-
E.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a014a0b57dc8190b04ce51156ab95fa |
completed | May 11, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_6a0149afa57c8190a83257085766d916 |
completed | May 11, 2026, 3:14 a.m. |
Created at: May 1, 2026, 12:14 a.m.