Triple
T961645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengal Presidency |
E20747
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cuttack |
E90240
|
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: Cuttack | Statement: [Bengal Presidency, contains, Cuttack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuttack Context triple: [Bengal Presidency, contains, Cuttack]
-
A.
Cuttack
chosen
Cuttack is a historic city in the Indian state of Odisha, known for its centuries-old Barabati Fort, silver filigree work, and role as a major cultural and commercial center.
-
B.
Sambalpur
Sambalpur is a historic city and former princely region in western Odisha, India, known for its cultural heritage, textile traditions, and role in 19th-century colonial-era political events.
-
C.
Chandannagar
Chandannagar is a former French colonial town in West Bengal, India, known for its historic riverside architecture and cultural blend of French and Bengali influences.
-
D.
Bhagyanagar
Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
-
E.
Patna
Patna is the capital city of the Indian state of Bihar, situated along the Ganges River and known as one of the oldest continuously inhabited cities in the world.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b415ac688190bbcef455935a3116 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cd72fe88190a7cdfe1afc123edd |
completed | March 7, 2026, 12:40 p.m. |
Created at: March 1, 2026, 7:40 p.m.