Triple
T30970845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karimganj (Lok Sabha constituency) |
E789092
|
entity |
| Predicate | hasAssemblySegmentsInDistrict |
P92393
|
FINISHED |
| Object | Karimganj district |
—
|
NE NERFINISHED |
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: Karimganj district | Statement: [Karimganj (Lok Sabha constituency), hasAssemblySegmentsInDistrict, Karimganj district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssemblySegmentsInDistrict Context triple: [Karimganj (Lok Sabha constituency), hasAssemblySegmentsInDistrict, Karimganj district]
-
A.
isOneOfAssemblyConstituenciesOf
chosen
Indicates that a given constituency is a member of, or belongs to, a specified set of assembly constituencies.
-
B.
occursInDistrict
Indicates that an event or activity takes place within the boundaries of a specific district.
-
C.
hasAssemblySegment
Indicates that an object or system includes a specific segment as part of its overall assembly structure.
-
D.
containsDistrictMunicipality
Indicates that an administrative region includes one or more district municipalities within its boundaries.
-
E.
hasCityDistrictAlong
Indicates that a city district is located along or adjacent to a specified linear feature, such as a road, river, or coastline.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 29, 2026, 8:54 p.m.