Triple
T1802900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standing Committees (India) |
E39757
|
entity |
| Predicate | decisionMode |
P22602
|
FINISHED |
| Object | Collective |
—
|
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: Collective | Statement: [Standing Committees (India), decisionMode, Collective]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionMode Context triple: [Standing Committees (India), decisionMode, Collective]
-
A.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
B.
decisionEffect
Indicates that one decision leads to, influences, or determines a particular outcome or consequence.
-
C.
decisionMaking
chosen
Indicates the process by which an entity evaluates options and selects a course of action among alternatives.
-
D.
decisionScope
Indicates the range or domain within which a particular decision is valid, applicable, or has authority.
-
E.
decisionMakingLevel
Indicates the degree or hierarchy of authority an entity has in making decisions within a given context.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d514c081908197ac1f7c7d7a88 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.