Triple
T7029282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North 24 Parganas district |
E163230
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Bongaon |
E198424
|
NE FINISHED |
How this triple was built (2 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: Bongaon | Statement: [North 24 Parganas district, containsTown, Bongaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bongaon Context triple: [North 24 Parganas district, containsTown, Bongaon]
-
A.
Bongaon
chosen
Bongaon is a town in the North 24 Parganas district of West Bengal, India, located near the India–Bangladesh border and known as an important local trade and transport hub.
-
B.
Borahgaon
Borahgaon is a locality in the vicinity of Guwahati’s Lokpriya Gopinath Bordoloi International Airport in Assam, India.
-
C.
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.
-
D.
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.
-
E.
Bidhannagar
Bidhannagar is a planned satellite township in the Kolkata metropolitan area of West Bengal, India, known for its residential neighborhoods and major IT and commercial hub in Sector V.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c7e50580c08190aa737043ad7520a0 |
completed | March 28, 2026, 2:26 p.m. |
Created at: March 27, 2026, 2:35 p.m.