Triple
T14882741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sealdah–Ranaghat line |
E350039
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Chakdaha |
E659894
|
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: Chakdaha | Statement: [Sealdah–Ranaghat line, serves, Chakdaha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chakdaha Context triple: [Sealdah–Ranaghat line, serves, Chakdaha]
-
A.
Chakdaha
chosen
Chakdaha is a town in the Nadia district of West Bengal, India, known as a local administrative and commercial center along the Hooghly River.
-
B.
Chanditala
Chanditala is a town in West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
-
C.
Dharangaon
Dharangaon is a town in the Jalgaon district of Maharashtra, India, known for its agricultural surroundings and role as a local commercial center.
-
D.
Chakulia
Chakulia is a town in Jharkhand, India, known as an emerging urban and industrial hub within the greater Jamshedpur industrial region.
-
E.
Khamgaon
Khamgaon is a city in the Buldhana district of Maharashtra, India, known as a regional commercial and educational center.
- 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_69fe6b5af8208190a35451477ea20b03 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:56 a.m.