Triple
T7029277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North 24 Parganas district |
E163230
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Haringhata
Haringhata is a town in the Indian state of West Bengal, known for its educational institutions and proximity to Kolkata.
|
E637464
|
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: Haringhata | Statement: [North 24 Parganas district, containsTown, Haringhata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haringhata Context triple: [North 24 Parganas district, containsTown, Haringhata]
-
A.
Kamarpukur
Kamarpukur is a village in West Bengal, India, best known as the birthplace of the mystic saint Ramakrishna and closely associated with his spiritual consort Sarada Devi.
-
B.
Samudrapur
Samudrapur is a town and administrative region in the Indian state of Maharashtra, known for its agrarian economy and location within Wardha district.
-
C.
Ghoghardiha
Ghoghardiha is a town located in the Madhubani district of the Indian state of Bihar.
-
D.
Agargaon
Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
-
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: Haringhata Triple: [North 24 Parganas district, containsTown, Haringhata]
Generated description
Haringhata is a town in the Indian state of West Bengal, known for its educational institutions and proximity to Kolkata.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haringhata Target entity description: Haringhata is a town in the Indian state of West Bengal, known for its educational institutions and proximity to Kolkata.
-
A.
Kamarpukur
Kamarpukur is a village in West Bengal, India, best known as the birthplace of the mystic saint Ramakrishna and closely associated with his spiritual consort Sarada Devi.
-
B.
Samudrapur
Samudrapur is a town and administrative region in the Indian state of Maharashtra, known for its agrarian economy and location within Wardha district.
-
C.
Ghoghardiha
Ghoghardiha is a town located in the Madhubani district of the Indian state of Bihar.
-
D.
Agargaon
Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
-
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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e200ecdc819098ca07473dfb272a |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775919734819083beb10b4c2b146e |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c7791d319881909470d0fa5f38f68e |
completed | March 28, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c779f5342881909085cae84299831c |
completed | March 28, 2026, 6:49 a.m. |
Created at: March 27, 2026, 2:35 p.m.