Triple
T21044542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kushtia District |
E518414
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bheramara
Bheramara is a town and upazila in western Bangladesh known for its location along the Padma River and its role as a regional transport and trade hub.
|
E1463998
|
NE FINISHED |
How this triple was built (4 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: Bheramara | Statement: [Kushtia District, hasSettlement, Bheramara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bheramara Context triple: [Kushtia District, hasSettlement, Bheramara]
-
A.
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.
-
B.
Bomdila
Bomdila is a hill town in northeastern India known for its Buddhist monasteries, scenic Himalayan views, and role as a cultural and administrative center in the region.
-
C.
Dhanghata
Dhanghata is a prominent town and administrative center in the Sant Kabir Nagar district of Uttar Pradesh, India.
-
D.
Manglaur
Manglaur is a town in the Haridwar district of Uttarakhand, India, known for its agricultural surroundings and local trade.
-
E.
Jaiharikhal
Jaiharikhal is a small hill town in Uttarakhand, India, known for its scenic Himalayan views and tranquil rural setting.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bheramara Triple: [Kushtia District, hasSettlement, Bheramara]
Generated description
Bheramara is a town and upazila in western Bangladesh known for its location along the Padma River and its role as a regional transport and trade hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bheramara Target entity description: Bheramara is a town and upazila in western Bangladesh known for its location along the Padma River and its role as a regional transport and trade hub.
-
A.
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.
-
B.
Bomdila
Bomdila is a hill town in northeastern India known for its Buddhist monasteries, scenic Himalayan views, and role as a cultural and administrative center in the region.
-
C.
Dhanghata
Dhanghata is a prominent town and administrative center in the Sant Kabir Nagar district of Uttar Pradesh, India.
-
D.
Manglaur
Manglaur is a town in the Haridwar district of Uttarakhand, India, known for its agricultural surroundings and local trade.
-
E.
Jaiharikhal
Jaiharikhal is a small hill town in Uttarakhand, India, known for its scenic Himalayan views and tranquil rural setting.
- F. None of above. chosen
Provenance (5 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf2fc4881909b9e3400864e6b82 |
completed | April 21, 2026, 4:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0947532dc48190a6416b669b1b5de7 |
completed | May 17, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_6a0949d5152081909199b93c1848cab4 |
completed | May 17, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a094a57117c819088cb5b7b565f4806 |
completed | May 17, 2026, 4:55 a.m. |
Created at: April 16, 2026, 2:24 p.m.