Triple
T1076236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OLRC |
E23844
|
entity |
| Predicate | nonSubstantiveFunction |
P7974
|
FINISHED |
| Object | does not make policy choices in codification |
—
|
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: does not make policy choices in codification | Statement: [OLRC, nonSubstantiveFunction, does not make policy choices in codification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonSubstantiveFunction Context triple: [OLRC, nonSubstantiveFunction, does not make policy choices in codification]
-
A.
notFunction
Indicates that the specified entity does not serve as a function or is not used in a functional role within the given context.
-
B.
nonExclusive
Indicates that the relationship or access is shared among multiple parties and is not limited to a single, exclusive holder.
-
C.
nonPartisan
Indicates that an entity is not affiliated with, influenced by, or acting on behalf of any political party or partisan interest.
-
D.
notTypicallyUsedFor
chosen
Indicates that something is generally not used for a particular purpose, function, or activity under normal circumstances.
-
E.
secondaryFunction
Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b940d4848190930e73597afd1fcf |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73ba8208190be7f3cef8c18689b |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.