Triple
T9921348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province No. 1 |
E187802
|
entity |
| Predicate | containsCity |
P294
|
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: [Province No. 1, containsCity, Birtamode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birtamode Context triple: [Province No. 1, containsCity, 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.
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.
-
C.
Parbatipur
Parbatipur is a key railway junction town in northern Bangladesh that serves as an important transportation and commercial hub for the surrounding region.
-
D.
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.
-
E.
Baghmara
Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb56abbb88190a21b8b77f1a25b81 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2578390888190b60f3962aec37b2d |
completed | April 5, 2026, 12:37 p.m. |
Created at: March 30, 2026, 8:42 p.m.