Triple
T22895378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varanasi Cantonment |
E568159
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Varanasi–Allahabad line |
—
|
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 line | Statement: [Varanasi Cantonment, locatedOn, Varanasi–Allahabad line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varanasi–Allahabad line Context triple: [Varanasi Cantonment, locatedOn, Varanasi–Allahabad line]
-
A.
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.
-
B.
Delhi–Mumbai line
The Delhi–Mumbai line is one of India’s busiest and most important railway corridors, connecting the national capital New Delhi with the financial hub Mumbai and passing through major cities in northern and western India.
-
C.
Varanasi–Lucknow line
The Varanasi–Lucknow line is a key railway route in the Indian state of Uttar Pradesh that connects the major cities of Varanasi and Lucknow, serving as an important corridor for both passenger and freight traffic.
-
D.
Howrah–Prayagraj–Mumbai line
The Howrah–Prayagraj–Mumbai line is a major Indian Railways trunk route connecting Kolkata (Howrah) in the east with Mumbai in the west via Prayagraj, passing through key junctions across northern and central India.
-
E.
Gaya–Patna line
The Gaya–Patna line is a key railway route in the Indian state of Bihar that connects the major cities of Gaya and Patna, serving as an important corridor for both passenger and freight traffic.
- 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 line Target entity description: The Varanasi–Allahabad line is a key railway route in northern India that connects the cities of Varanasi and Allahabad (Prayagraj), serving as an important corridor for regional passenger and freight traffic.
-
A.
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.
-
B.
Delhi–Mumbai line
The Delhi–Mumbai line is one of India’s busiest and most important railway corridors, connecting the national capital New Delhi with the financial hub Mumbai and passing through major cities in northern and western India.
-
C.
Varanasi–Lucknow line
The Varanasi–Lucknow line is a key railway route in the Indian state of Uttar Pradesh that connects the major cities of Varanasi and Lucknow, serving as an important corridor for both passenger and freight traffic.
-
D.
Howrah–Prayagraj–Mumbai line
The Howrah–Prayagraj–Mumbai line is a major Indian Railways trunk route connecting Kolkata (Howrah) in the east with Mumbai in the west via Prayagraj, passing through key junctions across northern and central India.
-
E.
Gaya–Patna line
The Gaya–Patna line is a key railway route in the Indian state of Bihar that connects the major cities of Gaya and Patna, serving as an important corridor for both passenger and freight traffic.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc83d688190a8ab5ea0aad1e7ec |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.