Triple
T22340943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mughalsarai Junction railway station |
E552271
|
entity |
| Predicate | line |
P1293
|
FINISHED |
| Object | Mughalsarai–Varanasi section |
—
|
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: Mughalsarai–Varanasi section | Statement: [Mughalsarai Junction railway station, line, Mughalsarai–Varanasi section]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mughalsarai–Varanasi section Context triple: [Mughalsarai Junction railway station, line, Mughalsarai–Varanasi section]
-
A.
Mughalsarai–Kanpur section
The Mughalsarai–Kanpur section is a major railway corridor in northern India that forms part of the busy Delhi–Howrah route, carrying heavy passenger and freight traffic across Uttar Pradesh.
-
B.
Kanpur–Prayagraj section
The Kanpur–Prayagraj section is a key railway line in the Indian state of Uttar Pradesh that connects the major cities of Kanpur and Prayagraj and forms part of important national rail corridors.
-
C.
Varanasi–Allahabad section
The Varanasi–Allahabad section is a key railway corridor in the Indian state of Uttar Pradesh that connects the major cities of Varanasi and Prayagraj (Allahabad) and serves numerous intermediate towns.
-
D.
Agra–Kanpur section
The Agra–Kanpur section is a key railway corridor in the Indian state of Uttar Pradesh that connects the major cities of Agra and Kanpur and forms part of the broader rail network linking northern India.
-
E.
Agra–Etawah section
The Agra–Etawah section is a key railway line in northern India that connects the historic city of Agra with Etawah, facilitating regional passenger and freight transport.
- 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: Mughalsarai–Varanasi section Target entity description: The Mughalsarai–Varanasi section is a key railway corridor in Uttar Pradesh, India, connecting the major rail hub of Mughalsarai (Pt. Deen Dayal Upadhyaya Junction) with the historic city of Varanasi and forming part of important national rail routes.
-
A.
Mughalsarai–Kanpur section
The Mughalsarai–Kanpur section is a major railway corridor in northern India that forms part of the busy Delhi–Howrah route, carrying heavy passenger and freight traffic across Uttar Pradesh.
-
B.
Kanpur–Prayagraj section
The Kanpur–Prayagraj section is a key railway line in the Indian state of Uttar Pradesh that connects the major cities of Kanpur and Prayagraj and forms part of important national rail corridors.
-
C.
Varanasi–Allahabad section
The Varanasi–Allahabad section is a key railway corridor in the Indian state of Uttar Pradesh that connects the major cities of Varanasi and Prayagraj (Allahabad) and serves numerous intermediate towns.
-
D.
Agra–Kanpur section
The Agra–Kanpur section is a key railway corridor in the Indian state of Uttar Pradesh that connects the major cities of Agra and Kanpur and forms part of the broader rail network linking northern India.
-
E.
Agra–Etawah section
The Agra–Etawah section is a key railway line in northern India that connects the historic city of Agra with Etawah, facilitating regional passenger and freight transport.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15783637c8190b77885f4e23d7ee5 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.