Triple
T14882743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sealdah–Ranaghat line |
E350039
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Ranaghat |
E676449
|
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: Ranaghat | Statement: [Sealdah–Ranaghat line, serves, Ranaghat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranaghat Context triple: [Sealdah–Ranaghat line, serves, Ranaghat]
-
A.
Ranaghat
chosen
Ranaghat is a prominent town in the Indian state of West Bengal, known as a key railway junction and commercial center in the Nadia region.
-
B.
Raiganj
Raiganj is a town in northern West Bengal, India, known as the headquarters of Uttar Dinajpur district and for its nearby Raiganj Wildlife Sanctuary.
-
C.
Baranagar
Baranagar is a densely populated suburban city in the northern part of Kolkata, India, known for its industrial areas, educational institutions, and cultural heritage.
-
D.
Raniganj
Raniganj is a coal-mining town in West Bengal, India, historically significant as one of the earliest centers of the Indian coal industry and now a key urban hub in the Durgapur–Asansol region.
-
E.
Kumarghat
Kumarghat is a town in the Indian state of Tripura, known as a local commercial and transport hub in the Unakoti district.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bccc26c8190bf571ea7aee0e0f6 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 1:56 a.m.