Triple
T22895370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varanasi Junction |
E568159
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object | Varanasi Cantonment |
—
|
NE NERFINISHED |
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 Cantonment | Statement: [Varanasi Junction, hasFormerName, Varanasi Cantonment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varanasi Cantonment Context triple: [Varanasi Junction, hasFormerName, Varanasi Cantonment]
-
A.
Varanasi Cantonment
chosen
Varanasi Cantonment is the former name of the major railway hub now known as Varanasi Junction in Uttar Pradesh, India.
-
B.
Agra Cantonment
Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
-
C.
Lucknow Cantonment
Lucknow Cantonment is a prominent military and residential area in Lucknow, Uttar Pradesh, known for its army establishments, orderly infrastructure, and role as a state legislative assembly constituency.
-
D.
Bareilly Cantonment
Bareilly Cantonment is a prominent military cantonment area in Bareilly, Uttar Pradesh, housing key Indian Army and Air Force installations.
-
E.
Jabalpur Cantonment
Jabalpur Cantonment is a major Indian Army cantonment area located in the city of Jabalpur in central India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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.