Triple
T20213461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howrah–Sahibganj loop |
E493550
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object |
Azimganj
Azimganj is a town in West Bengal, India, known as a local rail junction and trading center on the banks of the Bhagirathi River.
|
E1426985
|
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: Azimganj | Statement: [Howrah–Sahibganj loop, servesCity, Azimganj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azimganj Context triple: [Howrah–Sahibganj loop, servesCity, Azimganj]
-
A.
Sitarganj
Sitarganj is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural surroundings and growing industrial development.
-
B.
Karimganj
Karimganj is a town in the Indian state of Assam, known as a commercial and administrative center near the India–Bangladesh border.
-
C.
Raiganj
Raiganj is a town in northern West Bengal, India, known as the headquarters of Uttar Dinajpur district and for its nearby Raiganj Wildlife Sanctuary.
-
D.
Garhgaon
Garhgaon was a historic city in Assam, India, that served as an important political and administrative center of the Ahom dynasty.
-
E.
Bikramganj
Bikramganj is a town in the Rohtas district of Bihar, India, known as a local commercial and educational center for surrounding rural areas.
- 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: Azimganj Triple: [Howrah–Sahibganj loop, servesCity, Azimganj]
Generated description
Azimganj is a town in West Bengal, India, known as a local rail junction and trading center on the banks of the Bhagirathi River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azimganj Target entity description: Azimganj is a town in West Bengal, India, known as a local rail junction and trading center on the banks of the Bhagirathi River.
-
A.
Sitarganj
Sitarganj is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural surroundings and growing industrial development.
-
B.
Karimganj
Karimganj is a town in the Indian state of Assam, known as a commercial and administrative center near the India–Bangladesh border.
-
C.
Raiganj
Raiganj is a town in northern West Bengal, India, known as the headquarters of Uttar Dinajpur district and for its nearby Raiganj Wildlife Sanctuary.
-
D.
Garhgaon
Garhgaon was a historic city in Assam, India, that served as an important political and administrative center of the Ahom dynasty.
-
E.
Bikramganj
Bikramganj is a town in the Rohtas district of Bihar, India, known as a local commercial and educational center for surrounding rural areas.
- 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_6a0870716c5c8190aeb5a8030709458f |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a0871146b248190ac91cf010a984e1f |
completed | May 16, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0871a818688190ad69bcf84e33d014 |
completed | May 16, 2026, 1:31 p.m. |
Created at: April 11, 2026, 11:38 p.m.