Triple
T7014616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sub‑Committee on Administrative, Budgetary and Financial Matters |
E162667
|
entity |
| Predicate | typeOfIssuesHandled |
P31978
|
FINISHED |
| Object | organizational administration |
—
|
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: organizational administration | Statement: [Sub‑Committee on Administrative, Budgetary and Financial Matters, typeOfIssuesHandled, organizational administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfIssuesHandled Context triple: [Sub‑Committee on Administrative, Budgetary and Financial Matters, typeOfIssuesHandled, organizational administration]
-
A.
typeOfCasesHandled
chosen
Indicates the categories or kinds of cases that an entity (such as a person, organization, or system) is responsible for managing or processing.
-
B.
issueType
Indicates the specific category or classification assigned to an issue within a tracking or management context.
-
C.
numberOfIssues
Indicates the quantity of issues associated with a given entity or context.
-
D.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
E.
facingIssue
Indicates that an entity is currently experiencing, encountering, or dealing with a problem, difficulty, or obstacle.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:34 p.m.