Triple
T1418162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bengal |
E31965
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Murshidabad |
E66134
|
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: Murshidabad | Statement: [West Bengal, containsTown, Murshidabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murshidabad Context triple: [West Bengal, containsTown, Murshidabad]
-
A.
Murshidabad
chosen
Murshidabad is a historic city in West Bengal, India, that served as the capital of the Nawabs of Bengal and a major political and commercial center during the Mughal and early British periods.
-
B.
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.
-
C.
Jahangir Nagar
Jahangir Nagar is the former Mughal-era name of present-day Dhaka, given in honor of the emperor Jahangir.
-
D.
Barrackpore
Barrackpore is a historic cantonment town in West Bengal, India, notable as an early British military base and a key site in the events leading up to the Indian Rebellion of 1857.
-
E.
Burdwan
Burdwan is a historic city in the Indian state of West Bengal, known for its cultural heritage, educational institutions, and former status as a major administrative and commercial center.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c404e92c8190bd018673383f4534 |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad293cb8f0819085bea7914abf0683 |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 1, 2026, 7:59 p.m.