Triple
T7016213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farakka |
E162705
|
entity |
| Predicate | nearbyCity |
P350
|
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: [Farakka, nearbyCity, Murshidabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murshidabad Context triple: [Farakka, nearbyCity, 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.
Islampur
Islampur is a town in the Indian state of West Bengal, known as a local commercial and administrative center in the northern part of the state.
-
C.
Sonargaon
Sonargaon is a historic city in present-day Bangladesh that served as a major political and commercial center in medieval Bengal, renowned for its role in regional trade and Islamic culture.
-
D.
Mohiuddinnagar
Mohiuddinnagar is a town in the Indian state of Bihar, situated within the Samastipur district.
-
E.
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.
- 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_69c6e1d43e948190843f1cef3ce2004e |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79436bb708190a67038a717dfa842 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:34 p.m.