Triple
T19168404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balaghat district |
E469247
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Bhandara 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: Bhandara district | Statement: [Balaghat district, borderedBy, Bhandara district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhandara district Context triple: [Balaghat district, borderedBy, Bhandara district]
-
A.
Bhandara district
chosen
Bhandara district is an administrative district in the Indian state of Maharashtra, located in the Vidarbha region and known for its rice production and lakes.
-
B.
Ganjam district
Ganjam district is a coastal administrative region in the Indian state of Odisha, known for its rich cultural heritage, distinctive Odia dialects, and historical significance.
-
C.
Hoshangabad district
Hoshangabad district is an administrative region in the central Indian state of Madhya Pradesh, known for its agricultural landscape along major rivers and its proximity to the Satpura hill ranges.
-
D.
Gaj district
Gaj district is a residential neighborhood in the city of Wrocław, Poland.
-
E.
Babu District
Babu District is an urban district and key administrative area within the prefecture-level city of Hezhou in Guangxi, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16132e081908c6b8d576163316e |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.