Triple
T16235321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council of Governors in India |
E394093
|
entity |
| Predicate | scopeOfDiscussion |
P18525
|
FINISHED |
| Object | Centre–state relations |
—
|
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: Centre–state relations | Statement: [Council of Governors in India, scopeOfDiscussion, Centre–state relations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scopeOfDiscussion Context triple: [Council of Governors in India, scopeOfDiscussion, Centre–state relations]
-
A.
subjectMatterScope
chosen
Indicates the thematic or topical domain that an action, statement, or resource pertains to or falls within.
-
B.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
-
C.
scopeOfContribution
Indicates the specific area, domain, or extent within which an entity’s contribution or involvement applies.
-
D.
scopeOfAdvice
Indicates that one entity defines or specifies the range, boundaries, or subject matter covered by another entity’s advice or guidance.
-
E.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24559af48819092e4b466778b07e2 |
completed | April 17, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.