Triple
T6054240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varanasi Junction |
E134867
|
entity |
| Predicate | nearbyLandmark |
P350
|
FINISHED |
| Object | Varanasi Cantt area |
E572156
|
NE FINISHED |
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: Varanasi Cantt area | Statement: [Varanasi Junction, nearbyLandmark, Varanasi Cantt area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varanasi Cantt area Context triple: [Varanasi Junction, nearbyLandmark, Varanasi Cantt area]
-
A.
Varanasi Cantt
chosen
Varanasi Cantt is a major railway station and transportation hub in Varanasi, Uttar Pradesh, serving as one of the primary gateways to the city.
-
B.
Varanasi Cantonment
Varanasi Cantonment is the former name of the major railway hub now known as Varanasi Junction in Uttar Pradesh, India.
-
C.
Ayodhya Cantt
Ayodhya Cantt is a major railway station serving the city of Ayodhya in Uttar Pradesh, India, connecting it to key destinations across the country.
-
D.
Meerut Cantonment
Meerut Cantonment is a prominent military cantonment area and residential suburb in the city of Meerut, Uttar Pradesh, India.
-
E.
Agra Cantonment
Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05708fda48190ad3d1860969ebb6a |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14149f97081908d57c21652097ad3 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:09 p.m.