Triple
T5739203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Governments of India |
E126571
|
entity |
| Predicate | haveLegislativeAssemblyIn |
P65558
|
FINISHED |
| Object | all states of India |
—
|
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: all states of India | Statement: [State Governments of India, haveLegislativeAssemblyIn, all states of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveLegislativeAssemblyIn Context triple: [State Governments of India, haveLegislativeAssemblyIn, all states of India]
-
A.
legislativeBodyOf
Indicates that one entity is the official legislative body (lawmaking assembly) of another entity, typically a political unit such as a country, state, or city.
-
B.
hasLegislatureType
Indicates the specific form or system of legislature that an entity possesses or operates under.
-
C.
legislativeRepresentationUnit
Indicates that one entity serves as a unit or body that provides legislative representation for another entity.
-
D.
languageOfLegislature
Indicates the language or languages officially used by a legislature to conduct its proceedings, draft laws, and perform its formal functions.
-
E.
legislativeAssemblySeats
Indicates the number of seats an entity holds or is allocated in a legislative assembly.
- F. None of above. chosen
Provenance (4 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255dc35c8190ab9ee5d269ce553a |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c022a50c048190aff24c63e7039dd6 |
completed | March 22, 2026, 5:11 p.m. |
Created at: March 22, 2026, 3:48 p.m.