Triple
T19289672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhadohi |
E482406
|
entity |
| Predicate | railwayLine |
P848
|
FINISHED |
| Object | Varanasi–Allahabad 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: Varanasi–Allahabad section | Statement: [Bhadohi, railwayLine, Varanasi–Allahabad section]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varanasi–Allahabad section Context triple: [Bhadohi, railwayLine, Varanasi–Allahabad section]
-
A.
Delhi–Kanpur section
The Delhi–Kanpur section is a major railway corridor in northern India that connects the national capital Delhi with the industrial city of Kanpur, carrying heavy passenger and freight traffic.
-
B.
Delhi–Agra section
The Delhi–Agra section is a key railway corridor in northern India that connects the national capital, Delhi, with the historic city of Agra and forms part of a major passenger and tourist route.
-
C.
Agra–Mathura section
The Agra–Mathura section is a key railway line in northern India that connects the historic cities of Agra and Mathura and forms part of important regional and long-distance rail routes.
-
D.
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.
-
E.
Varanasi–Patna line
The Varanasi–Patna line is a key Indian Railways route in northern India that connects the major cities of Varanasi and Patna, serving as an important corridor for passenger and freight traffic in the region.
- 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: Varanasi–Allahabad section Target entity description: 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.
-
A.
Delhi–Kanpur section
The Delhi–Kanpur section is a major railway corridor in northern India that connects the national capital Delhi with the industrial city of Kanpur, carrying heavy passenger and freight traffic.
-
B.
Delhi–Agra section
The Delhi–Agra section is a key railway corridor in northern India that connects the national capital, Delhi, with the historic city of Agra and forms part of a major passenger and tourist route.
-
C.
Agra–Mathura section
The Agra–Mathura section is a key railway line in northern India that connects the historic cities of Agra and Mathura and forms part of important regional and long-distance rail routes.
-
D.
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.
-
E.
Varanasi–Patna line
The Varanasi–Patna line is a key Indian Railways route in northern India that connects the major cities of Varanasi and Patna, serving as an important corridor for passenger and freight traffic in the region.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc050a888190ac204d1e736200c5 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.