Triple
T20821692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bareilly district |
E512589
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Faridpur
Faridpur is a town in the Bareilly district of Uttar Pradesh, India, known as a local commercial and administrative center for the surrounding rural region.
|
E1479654
|
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: Faridpur | Statement: [Bareilly district, hasTown, Faridpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faridpur Context triple: [Bareilly district, hasTown, Faridpur]
-
A.
Faridpur
Faridpur is a historic town in central Bangladesh known for its cultural heritage and role in the Bengal Renaissance.
-
B.
Comilla
Comilla is a major city in eastern Bangladesh known for its historical sites, educational institutions, and role as a regional commercial hub.
-
C.
Kishoreganj
Kishoreganj is a town and district headquarters in central Bangladesh known for its agricultural economy, riverine landscape, and cultural heritage.
-
D.
Kishoreganj District
Kishoreganj District is an administrative district in central Bangladesh known for its riverine landscape, cultural heritage, and agricultural economy.
-
E.
Sirajganj
Sirajganj is a city in north-central Bangladesh known as a key river port and commercial hub on the banks of the Jamuna River.
- 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: Faridpur Triple: [Bareilly district, hasTown, Faridpur]
Generated description
Faridpur is a town in the Bareilly district of Uttar Pradesh, India, known as a local commercial and administrative center for the surrounding rural region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faridpur Target entity description: Faridpur is a town in the Bareilly district of Uttar Pradesh, India, known as a local commercial and administrative center for the surrounding rural region.
-
A.
Faridpur
Faridpur is a historic town in central Bangladesh known for its cultural heritage and role in the Bengal Renaissance.
-
B.
Comilla
Comilla is a major city in eastern Bangladesh known for its historical sites, educational institutions, and role as a regional commercial hub.
-
C.
Kishoreganj
Kishoreganj is a town and district headquarters in central Bangladesh known for its agricultural economy, riverine landscape, and cultural heritage.
-
D.
Kishoreganj District
Kishoreganj District is an administrative district in central Bangladesh known for its riverine landscape, cultural heritage, and agricultural economy.
-
E.
Sirajganj
Sirajganj is a city in north-central Bangladesh known as a key river port and commercial hub on the banks of the Jamuna River.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f7a1548190b6ef3f1cfad37c1c |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad4729d8819085c5e5511a5239fb |
completed | May 17, 2026, 11:57 a.m. |
| NEDg | Description generation | batch_6a09ade09c0081908ec1962de430a6e8 |
completed | May 17, 2026, noon |
| NED2 | Entity disambiguation (via description) | batch_6a09ae91d9cc8190a677124f1a0e1e4e |
completed | May 17, 2026, 12:03 p.m. |
Created at: April 16, 2026, 12:41 p.m.