Triple
T1436763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bengal |
E30575
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Siliguri |
E168294
|
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: Siliguri | Statement: [West Bengal, contains, Siliguri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siliguri Context triple: [West Bengal, contains, Siliguri]
-
A.
Siliguri
chosen
Siliguri is a major commercial and transportation hub in northeastern India, strategically located near the borders of Nepal, Bhutan, and Bangladesh and serving as the gateway to the Himalayan region.
-
B.
Dibrugarh
Dibrugarh is a prominent city in northeastern India known as a major commercial and industrial hub of Assam, especially for its tea industry and oil and natural gas sectors.
-
C.
Malda
Malda is a town in eastern India known as a commercial hub and historic gateway to the northern districts of West Bengal.
-
D.
Midnapore
Midnapore is a historic town in the Indian state of West Bengal, known for its role in the Indian independence movement and its rich cultural and educational heritage.
-
E.
Jalpaiguri
Jalpaiguri is a town in northeastern India known as an important administrative and commercial center near the Himalayan foothills.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c50418d08190ace2cab98af87f29 |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3b07b688190a0c90796da21c4d5 |
completed | March 8, 2026, 10:09 p.m. |
Created at: March 1, 2026, 8 p.m.