Triple
T19329534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satna (Vidhan Sabha constituency) |
E483448
|
entity |
| Predicate | administrativeStateCode |
P20781
|
FINISHED |
| Object | MP |
—
|
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: MP | Statement: [Satna (Vidhan Sabha constituency), administrativeStateCode, MP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeStateCode Context triple: [Satna (Vidhan Sabha constituency), administrativeStateCode, MP]
-
A.
icaoStateCode
Indicates the association between an entity (such as an aircraft, airline, or airport) and the ICAO-assigned state or country code under whose jurisdiction it falls.
-
B.
administrativeCodeSystem
Indicates that there is a system or scheme used to assign and manage administrative codes for organizing or identifying entities or records.
-
C.
stateSubdivisionCode
chosen
Indicates the standardized code that identifies a specific subdivision (such as a state, province, or region) within a larger country or territory.
-
D.
postalStateCode
Indicates the standardized state or regional code used in a postal address for the entity.
-
E.
postalState
Indicates the state or province associated with an entity’s postal or mailing address.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6163ffddc81909e9cb13e780f1f18 |
completed | April 20, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:33 p.m.