Triple
T8559350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Financial Standing Committees |
E202651
|
entity |
| Predicate | scrutinize |
P170
|
FINISHED |
| Object | government finances |
—
|
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: government finances | Statement: [Financial Standing Committees, scrutinize, government finances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scrutinize Context triple: [Financial Standing Committees, scrutinize, government finances]
-
A.
scrutinyMethods
Indicates the methods or procedures used to examine, inspect, or critically evaluate something.
-
B.
oversee
Indicates having responsibility for supervising, directing, or managing the actions or work of another entity.
-
C.
analyzes
chosen
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
D.
scans
Indicates performing a systematic examination or inspection of something, often using a device or method to detect, read, or analyze its contents or structure.
-
E.
aimsToCritique
Indicates an intention to analyze and point out faults, limitations, or weaknesses in something.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe949974c8190a75d9c767ca5fa5a |
completed | March 31, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69cbd1160fcc8190aa380a73610af731 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:20 p.m.