Triple
T7296323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadia district |
E164529
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Ranaghat
Ranaghat is a prominent town in the Indian state of West Bengal, known as a key railway junction and commercial center in the Nadia region.
|
E676449
|
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: Ranaghat | Statement: [Nadia district, containsTown, Ranaghat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranaghat Context triple: [Nadia district, containsTown, Ranaghat]
-
A.
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.
-
B.
Baranagar
Baranagar is a densely populated suburban city in the northern part of Kolkata, India, known for its industrial areas, educational institutions, and cultural heritage.
-
C.
Sainthia
Sainthia is a town in the Birbhum district of West Bengal, India, known as a local commercial and cultural center.
-
D.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
-
E.
Rampurhat
Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
- 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: Ranaghat Triple: [Nadia district, containsTown, Ranaghat]
Generated description
Ranaghat is a prominent town in the Indian state of West Bengal, known as a key railway junction and commercial center in the Nadia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ranaghat Target entity description: Ranaghat is a prominent town in the Indian state of West Bengal, known as a key railway junction and commercial center in the Nadia region.
-
A.
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.
-
B.
Baranagar
Baranagar is a densely populated suburban city in the northern part of Kolkata, India, known for its industrial areas, educational institutions, and cultural heritage.
-
C.
Sainthia
Sainthia is a town in the Birbhum district of West Bengal, India, known as a local commercial and cultural center.
-
D.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
-
E.
Rampurhat
Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8d0c6c8190b32cd08b9a5d96cc |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86829f0788190828f5fb659e311d0 |
completed | March 28, 2026, 11:45 p.m. |
| NEDg | Description generation | batch_69c868b0ee2081908bb0d43a68024b6f |
completed | March 28, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c869c54ad08190ba42231080d0e9f3 |
completed | March 28, 2026, 11:52 p.m. |
Created at: March 27, 2026, 3 p.m.