Triple
T23329462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gazipur District |
E591401
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bhawalgarh
Bhawalgarh is a locality within Gazipur District in central Bangladesh, known as part of the greater Dhaka region’s peri-urban and rural landscape.
|
E1583296
|
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: Bhawalgarh | Statement: [Gazipur District, contains, Bhawalgarh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhawalgarh Context triple: [Gazipur District, contains, Bhawalgarh]
-
A.
Sabalgarh
Sabalgarh is a town in the Indian state of Madhya Pradesh known for its historic fort and proximity to the Chambal ravines.
-
B.
Vijaygarh
Vijaygarh is a historic fortress town in northern India that once served as the political and administrative center of the Baghela Rajput rulers.
-
C.
Narsinghgarh
Narsinghgarh is a historic town in central India that once served as the administrative and cultural center of the former princely Narsinghgarh State.
-
D.
Bawani Khera
Bawani Khera is a town and state legislative assembly constituency in the Bhiwani district of Haryana, India.
-
E.
Mahendragarh
Mahendragarh is a town and district headquarters in the northern Indian state of Haryana.
- 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: Bhawalgarh Triple: [Gazipur District, contains, Bhawalgarh]
Generated description
Bhawalgarh is a locality within Gazipur District in central Bangladesh, known as part of the greater Dhaka region’s peri-urban and rural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bhawalgarh Target entity description: Bhawalgarh is a locality within Gazipur District in central Bangladesh, known as part of the greater Dhaka region’s peri-urban and rural landscape.
-
A.
Sabalgarh
Sabalgarh is a town in the Indian state of Madhya Pradesh known for its historic fort and proximity to the Chambal ravines.
-
B.
Vijaygarh
Vijaygarh is a historic fortress town in northern India that once served as the political and administrative center of the Baghela Rajput rulers.
-
C.
Narsinghgarh
Narsinghgarh is a historic town in central India that once served as the administrative and cultural center of the former princely Narsinghgarh State.
-
D.
Bawani Khera
Bawani Khera is a town and state legislative assembly constituency in the Bhiwani district of Haryana, India.
-
E.
Mahendragarh
Mahendragarh is a town and district headquarters in the northern Indian state of Haryana.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197ec22a481908247f5f86acb6ab4 |
completed | April 29, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dc68d7081908cbb91d6dce3aa98 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5f0188388190a76923ea497f1b04 |
completed | May 19, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5fd0c4e88190901c08e6c969e7ac |
completed | May 19, 2026, 1:04 p.m. |
Created at: April 17, 2026, 5:14 p.m.