Triple
T10222680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babubarhi |
E242619
|
entity |
| Predicate | hasLegislativeConstituencyType |
P15309
|
FINISHED |
| Object | assembly constituency |
—
|
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: assembly constituency | Statement: [Babubarhi, hasLegislativeConstituencyType, assembly constituency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegislativeConstituencyType Context triple: [Babubarhi, hasLegislativeConstituencyType, assembly constituency]
-
A.
constituencyType
chosen
Indicates the specific kind or category of electoral or representative district to which an entity belongs or refers.
-
B.
hasLegislativeType
Indicates that something is associated with, classified by, or characterized as a particular type or category of legislation or legislative measure.
-
C.
hasLegislatureType
Indicates the specific form or system of legislature that an entity possesses or operates under.
-
D.
electoralDistrictType
Indicates the specific category or kind of electoral district associated with an entity (e.g., federal, state, local).
-
E.
legislativeAssemblyConstituency
Indicates that one entity is a legislative assembly constituency associated with or represented by another entity (such as a place, jurisdiction, or legislative body).
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa8305e481908ee1fc1d9eda6fa0 |
completed | April 6, 2026, 12:43 p.m. |
| PD | Predicate disambiguation | batch_69d3955f61f88190b8d37ff645cd44d3 |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:10 a.m.