Triple
T19937383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NH 19 |
E479206
|
entity |
| Predicate | connectsIndustrialRegion |
P74434
|
FINISHED |
| Object | Kanpur industrial belt |
—
|
NE NERFINISHED |
How this triple was built (3 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: Kanpur industrial belt | Statement: [NH 19, connectsIndustrialRegion, Kanpur industrial belt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanpur industrial belt Context triple: [NH 19, connectsIndustrialRegion, Kanpur industrial belt]
-
A.
Prayagraj metropolitan area
Prayagraj metropolitan area is a major urban and administrative hub in the Indian state of Uttar Pradesh, centered on the historic city of Prayagraj at the confluence of the Ganges, Yamuna, and mythical Saraswati rivers.
-
B.
Majha–Doaba industrial belt
The Majha–Doaba industrial belt is a key manufacturing and commercial corridor in Punjab, India, encompassing cities like Jalandhar and known for its diverse small- and medium-scale industries.
-
C.
Jamshedpur industrial region
Jamshedpur industrial region is a major steel and engineering hub in eastern India, centered around the city of Jamshedpur and dominated by large-scale industries such as Tata Steel.
-
D.
Ahmedabad-Viramgam industrial belt
The Ahmedabad-Viramgam industrial belt is a key manufacturing and logistics corridor in Gujarat, India, characterized by clusters of textile, chemical, engineering, and ancillary industries supported by strong road and rail connectivity.
-
E.
Varanasi metropolitan area
The Varanasi metropolitan area is the urban agglomeration centered on the ancient city of Varanasi in Uttar Pradesh, India, encompassing its surrounding suburbs and satellite towns.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanpur industrial belt Target entity description: The Kanpur industrial belt is a major manufacturing and commercial hub in northern India, known for its leather, textile, and engineering industries.
-
A.
Prayagraj metropolitan area
Prayagraj metropolitan area is a major urban and administrative hub in the Indian state of Uttar Pradesh, centered on the historic city of Prayagraj at the confluence of the Ganges, Yamuna, and mythical Saraswati rivers.
-
B.
Majha–Doaba industrial belt
The Majha–Doaba industrial belt is a key manufacturing and commercial corridor in Punjab, India, encompassing cities like Jalandhar and known for its diverse small- and medium-scale industries.
-
C.
Jamshedpur industrial region
Jamshedpur industrial region is a major steel and engineering hub in eastern India, centered around the city of Jamshedpur and dominated by large-scale industries such as Tata Steel.
-
D.
Ahmedabad-Viramgam industrial belt
The Ahmedabad-Viramgam industrial belt is a key manufacturing and logistics corridor in Gujarat, India, characterized by clusters of textile, chemical, engineering, and ancillary industries supported by strong road and rail connectivity.
-
E.
Varanasi metropolitan area
The Varanasi metropolitan area is the urban agglomeration centered on the ancient city of Varanasi in Uttar Pradesh, India, encompassing its surrounding suburbs and satellite towns.
- F. None of above. chosen
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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a17fb2c8190b3aaae88e741648a |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.