Triple
T20213460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howrah–Sahibganj loop |
E493550
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object |
Katwa
Katwa is a town in the Purba Bardhaman district of West Bengal, India, known as a local commercial and transport hub in the region.
|
E1418476
|
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: Katwa | Statement: [Howrah–Sahibganj loop, servesCity, Katwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katwa Context triple: [Howrah–Sahibganj loop, servesCity, Katwa]
-
A.
Katwa
Katwa is a health zone and town in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
-
B.
Zumwa
Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
-
C.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
D.
Nguti
Nguti is a town in the forested interior of Cameroon's Southwest Region, known as a local administrative and trading center for surrounding rural communities.
-
E.
Bwisagu
Bwisagu is a major springtime New Year and harvest festival of the Bodo people of Assam, marked by traditional music, dance, and rituals of gratitude to nature and livestock.
- 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: Katwa Triple: [Howrah–Sahibganj loop, servesCity, Katwa]
Generated description
Katwa is a town in the Purba Bardhaman district of West Bengal, India, known as a local commercial and transport hub in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katwa Target entity description: Katwa is a town in the Purba Bardhaman district of West Bengal, India, known as a local commercial and transport hub in the region.
-
A.
Katwa
Katwa is a health zone and town in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
-
B.
Zumwa
Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
-
C.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
D.
Nguti
Nguti is a town in the forested interior of Cameroon's Southwest Region, known as a local administrative and trading center for surrounding rural communities.
-
E.
Bwisagu
Bwisagu is a major springtime New Year and harvest festival of the Bodo people of Assam, marked by traditional music, dance, and rituals of gratitude to nature and livestock.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed6fe888190b553ba6879cb2d8d |
completed | April 20, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843f2768c8190b54054fc00c84332 |
completed | May 16, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_6a0844fdbc888190bd3a9e02d5f9bcc2 |
completed | May 16, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0845e241048190ba7fb657d4dca3d7 |
completed | May 16, 2026, 10:24 a.m. |
Created at: April 11, 2026, 11:38 p.m.