Triple
T6127640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Legislative Assemblies |
E136631
|
entity |
| Predicate | lawMakingSubject |
P8905
|
FINISHED |
| Object | State List of Seventh Schedule |
—
|
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: State List of Seventh Schedule | Statement: [State Legislative Assemblies, lawMakingSubject, State List of Seventh Schedule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawMakingSubject Context triple: [State Legislative Assemblies, lawMakingSubject, State List of Seventh Schedule]
-
A.
hasLegislativeSubject
chosen
Indicates that a legislative document, action, or body concerns, addresses, or is about a particular subject or topic.
-
B.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
-
C.
areaOfLegislation
Indicates that one entity defines, concerns, or governs the legal domain or subject matter covered by another entity.
-
D.
legalSubject
Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
-
E.
promulgatesLawsAt
Indicates the action by which an authority formally enacts or issues laws within a particular jurisdiction or location.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c2a13a48190b80e11d58fc87c8a |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049fa905c8190b99eda54e9771b0b |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:15 p.m.