Triple
T20638035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ujjain district |
E507137
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Agar Malwa 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: Agar Malwa district | Statement: [Ujjain district, borderedBy, Agar Malwa district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agar Malwa district Context triple: [Ujjain district, borderedBy, Agar Malwa district]
-
A.
Agar Malwa district
chosen
Agar Malwa district is an administrative district in the Indian state of Madhya Pradesh, known for its agricultural economy and location in the Malwa region.
-
B.
Bhandara district
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.
-
C.
Gaj district
Gaj district is a residential neighborhood in the city of Wrocław, Poland.
-
D.
Anand district
Anand district is an administrative region in the state of Gujarat, India, known for its agricultural productivity and as a major hub of the Indian dairy industry.
-
E.
Balaghat district
Balaghat district is an administrative region in the Indian state of Madhya Pradesh, noted for its rich forests, mineral resources, and proximity to major wildlife areas such as Kanha National Park.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad1163008190aa9df36750a952d2 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.