Triple
T14882728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sealdah–Ranaghat line |
E350039
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Belgharia |
E637469
|
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: Belgharia | Statement: [Sealdah–Ranaghat line, serves, Belgharia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belgharia Context triple: [Sealdah–Ranaghat line, serves, Belgharia]
-
A.
Belgharia
chosen
Belgharia is a suburban locality and residential-commercial area in the northern part of Kolkata, in the Indian state of West Bengal.
-
B.
Belonia
Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
-
C.
Debregeasia
Debregeasia is a small genus of flowering shrubs and small trees native to Asia and the Pacific, known for its fibrous bark historically used for making cordage and paper.
-
D.
Bolghar
Bolghar was the medieval capital city of Volga Bulgaria, an important political, commercial, and cultural center on the Volga River.
-
E.
Rasoun
Rasoun is a small town in northern Jordan located within the hilly, forested region of Ajloun Governorate.
- 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.