Triple
T36174299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | States Assembly |
E1046537
|
entity |
| Predicate | scrutinyFunction |
P163478
|
FINISHED |
| Object | examines draft laws |
—
|
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: examines draft laws | Statement: [States Assembly, scrutinyFunction, examines draft laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scrutinyFunction Context triple: [States Assembly, scrutinyFunction, examines draft laws]
-
A.
scrutinyMethods
Indicates the methods or procedures used to examine, inspect, or critically evaluate something.
-
B.
coversFunction
Indicates that one entity provides sufficient scope or capability to perform, include, or account for the function of another entity.
-
C.
policySupervisionFunction
Indicates that an entity has the role or responsibility of overseeing, monitoring, or managing the implementation and adherence to a policy.
-
D.
hasJudgingFunction
chosen
Indicates that an entity holds a role or capacity to evaluate, assess, or make judgments about another entity or situation.
-
E.
spinCriterion
Indicates that a specified condition or rule determines how an object or system is allowed or required to spin or rotate.
- 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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.