Triple
T9886415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banalata Sen (character) |
E180942
|
entity |
| Predicate | fromPlace |
P32243
|
FINISHED |
| Object | Natore |
E827978
|
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: Natore | Statement: [Banalata Sen (character), fromPlace, Natore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natore Context triple: [Banalata Sen (character), fromPlace, Natore]
-
A.
Natore
chosen
Natore is a town and district headquarters in northern Bangladesh known for its historical estates and cultural heritage.
-
B.
Chakulia
Chakulia is a town in Jharkhand, India, known as an emerging urban and industrial hub within the greater Jamshedpur industrial region.
-
C.
Rangapara
Rangapara is a town in the Sonitpur district of Assam, India, known as a local educational and transportation hub in the region.
-
D.
Hugli-Chuchura
Hugli-Chuchura is a historic town and administrative center in the Hooghly district of the Indian state of West Bengal, known for its colonial-era architecture and riverside location along the Hooghly River.
-
E.
Pandua
Pandua is a historic city in present-day West Bengal, India, that served as an important political and cultural center during the medieval Bengal Sultanate.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb45659748190a3ebd1abe23c8779 |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d7cc8e481909efdd1333ae740a3 |
completed | April 5, 2026, 7:21 a.m. |
Created at: March 30, 2026, 8:38 p.m.