Triple
T20213463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howrah–Sahibganj loop |
E493550
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Sainthia |
E569650
|
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: Sainthia | Statement: [Howrah–Sahibganj loop, servesCity, Sainthia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sainthia Context triple: [Howrah–Sahibganj loop, servesCity, Sainthia]
-
A.
Sainthia
chosen
Sainthia is a town in the Birbhum district of West Bengal, India, known as a local commercial and cultural center.
-
B.
Sipajhar
Sipajhar is a town and administrative center in the Indian state of Assam, known for its role as a local hub within Darrang district.
-
C.
Muktainagar
Muktainagar is a town in the Jalgaon district of Maharashtra, India, known primarily as an agricultural and trading center in the region.
-
D.
Santipur
Santipur is a historic town in West Bengal, India, renowned for its traditional handloom sarees and cultural heritage.
-
E.
Purulia
Purulia is a town in eastern India known as the administrative headquarters of Purulia district and for its distinctive Chhau dance and scenic, hilly landscape.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed6fe888190b553ba6879cb2d8d |
completed | April 20, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08760273c08190a3652496eb62ae3d |
completed | May 16, 2026, 1:49 p.m. |
Created at: April 11, 2026, 11:38 p.m.