Triple
T15817219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhapa District |
E383510
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Birtamode |
E679081
|
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: Birtamode | Statement: [Jhapa District, majorCity, Birtamode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birtamode Context triple: [Jhapa District, majorCity, Birtamode]
-
A.
Birtamode
chosen
Birtamode is a rapidly growing commercial town in eastern Nepal known as a key trade and transport hub of Jhapa District.
-
B.
Bikapur
Bikapur is a town and administrative subdivision in the Ayodhya district of Uttar Pradesh, India, known for its proximity to the historic city of Ayodhya.
-
C.
Khagrachhari
Khagrachhari is a hilly district and town in southeastern Bangladesh known for its indigenous communities, natural landscapes, and role as part of the Chittagong Hill Tracts.
-
D.
Parbatipur
Parbatipur is a key railway junction town in northern Bangladesh that serves as an important transportation and commercial hub for the surrounding region.
-
E.
Bhatpara
Bhatpara is an industrial and residential town in the North 24 Parganas district of West Bengal, India, known for its jute mills and dense urban population along the Hooghly River.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a4332c8190bc525e06d6f3a6b4 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9997e0048190b0c00a5a0ff561c9 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.