Triple
T7014856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bankura |
E162675
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Dwarakeswar River |
E689888
|
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: Dwarakeswar River | Statement: [Bankura, hasRiver, Dwarakeswar River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dwarakeswar River Context triple: [Bankura, hasRiver, Dwarakeswar River]
-
A.
Arunavati River
The Arunavati River is a smaller river in western India that feeds into the larger Tapti River system.
-
B.
Shitalakshya River
The Shitalakshya River is a significant distributary of the Brahmaputra in central Bangladesh, flowing past industrial and urban areas near Dhaka and serving as an important waterway for transport and industry.
-
C.
Bakreshwar River
chosen
The Bakreshwar River is a small river in the Indian state of West Bengal, known for flowing near the Bakreshwar thermal power plant and the Bakreshwar hot springs and temple complex.
-
D.
Yantra River
The Yantra River is a significant river in northern Bulgaria that flows through historic towns like Veliko Tarnovo before joining the Danube.
-
E.
Kshipra River
The Kshipra River is a sacred river in central India that flows through the city of Ujjain and is an important site for Hindu religious rituals and pilgrimages.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1d31edc8190931655616d0739d1 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ca5e06c8dc8190b7b25725fb0a96e8 |
completed | March 30, 2026, 11:27 a.m. |
Created at: March 27, 2026, 2:34 p.m.