Triple
T20218540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajshahi Division |
E495189
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Chapai Nawabganj |
—
|
NE NERFINISHED |
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: Chapai Nawabganj | Statement: [Rajshahi Division, containsCity, Chapai Nawabganj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chapai Nawabganj Context triple: [Rajshahi Division, containsCity, Chapai Nawabganj]
-
A.
Chapainawabganj
chosen
Chapainawabganj is a district town in western Bangladesh known for its mango production and location near the border with India.
-
B.
Jamalpur
Jamalpur is a city in central Bangladesh known as an important regional hub for agriculture and trade near the Jamuna River.
-
C.
Lakhipur
Lakhipur is a notable town in the Indian state of Assam, recognized as one of the main urban centers within Cachar district.
-
D.
Sahebganj
Sahebganj is a town and district headquarters in the eastern Indian state of Jharkhand, known for its location along the Ganges River and its role as an administrative and commercial center in the region.
-
E.
Joypurhat
Joypurhat is a district-level town in northern Bangladesh known for its agricultural economy and location within the Rajshahi Division.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edaeeb08190bb74bd4a10aceca2 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:39 p.m.