Triple
T10381857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamarpukur |
E244660
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Arambagh |
E637838
|
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: Arambagh | Statement: [Kamarpukur, locatedNear, Arambagh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arambagh Context triple: [Kamarpukur, locatedNear, Arambagh]
-
A.
Arambagh
chosen
Arambagh is a town and administrative subdivision in the Hooghly district of West Bengal, India, known as a local commercial and transportation hub for the surrounding rural areas.
-
B.
Patalghar
Patalghar is a popular Bengali science-fiction novel by Shirshendu Mukhopadhyay, known for its imaginative storytelling and appeal to both children and adults.
-
C.
Kheragarh
Kheragarh is a town in the culturally significant Braj region of northern India, known for its historical and religious associations with the broader Mathura–Agra area.
-
D.
Ambarnath
Ambarnath is a suburban city in the Thane district of Maharashtra, India, known for its historic Shiva temple and its role as a residential and industrial hub near Mumbai.
-
E.
Baghat
Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e992d8e08190aaa9a04925f52ccc |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79592512c8190b999191f16e3133c |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:04 p.m.