Triple
T22433104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goalpara, Assam, India |
E554545
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Kumri Beel |
E797562
|
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: Kumri Beel | Statement: [Goalpara, Assam, India, hasNearbyAttraction, Kumri Beel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumri Beel Context triple: [Goalpara, Assam, India, hasNearbyAttraction, Kumri Beel]
-
A.
Hatyapuri
Hatyapuri is a Bengali detective novel in the Feluda series by Satyajit Ray, featuring the sleuth Pradosh C. Mitter (Feluda) as he unravels a mystery in the seaside town of Puri.
-
B.
Maguri Motapung Beel
chosen
Maguri Motapung Beel is a biodiverse wetland and birding hotspot in Assam, India, renowned for its rich aquatic ecosystems and migratory bird populations.
-
C.
Kakdwip
Kakdwip is a town in West Bengal, India, known as a riverine and coastal hub near the Bay of Bengal and a gateway to the Sunderbans region.
-
D.
Lalmonirhat
Lalmonirhat is a northern Bangladeshi town that serves as the administrative center of Lalmonirhat District in the Rangpur region.
-
E.
Kamarhati
Kamarhati is an industrial and residential city in the northern suburbs of Kolkata, West Bengal, India.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0f90f5881908f0011690cb0f1e4 |
completed | May 18, 2026, 10:59 a.m. |
Created at: April 16, 2026, 8:47 p.m.