Triple

T30263863

Position	Surface form	Disambiguated ID	Type / Status
Subject	বনলতা সেন	`E769578`	entity
Predicate	বিষয়	`P450`	FINISHED
Object	ক্লান্ত পথিকের আশ্রয় অনুসন্ধান ক্লান্ত পথিকের আশ্রয় অনুসন্ধান মূলত জীবনযাত্রার ক্লান্তি ও নিঃসঙ্গতার মধ্যে শান্তি, স্নেহ ও আশ্রয়ের গভীর মানবিক আকাঙ্ক্ষাকে প্রতিফলিত করে।	`E1906800`	NE FINISHED

How this triple was built (3 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: ক্লান্ত পথিকের আশ্রয় অনুসন্ধান | Statement: [বনলতা সেন, বিষয়, ক্লান্ত পথিকের আশ্রয় অনুসন্ধান]

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: ক্লান্ত পথিকের আশ্রয় অনুসন্ধান
Triple: [বনলতা সেন, বিষয়, ক্লান্ত পথিকের আশ্রয় অনুসন্ধান]

Generated description

ক্লান্ত পথিকের আশ্রয় অনুসন্ধান মূলত জীবনযাত্রার ক্লান্তি ও নিঃসঙ্গতার মধ্যে শান্তি, স্নেহ ও আশ্রয়ের গভীর মানবিক আকাঙ্ক্ষাকে প্রতিফলিত করে।

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: বিষয়
Context triple: [বনলতা সেন, বিষয়, ক্লান্ত পথিকের আশ্রয় অনুসন্ধান]

A. issue
Indicates that an entity formally publishes, releases, or distributes something, such as a document, statement, or item, often in an official or authoritative capacity.
B. subjectMatter chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
C. subjectOfConcernFor
Indicates that one entity is regarded as a matter of worry, interest, or attention for another entity.
D. involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
E. topicOfDiscourse
Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
F. None of above.

Provenance (6 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_69f22484a5f48190b678cd607700bc82`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f680ab3ba481908d75676fef98820f`	completed	May 2, 2026, 10:54 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a27645fbe1c8190bb5b87e0680bd0fa`	completed	June 9, 2026, 12:54 a.m.
NEDg	Description generation	`batch_6a27682a252c81909dd4146f9acbd77f`	completed	June 9, 2026, 1:11 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2768d8683c8190afb8c6880178c7bf`	completed	June 9, 2026, 1:14 a.m.
PD	Predicate disambiguation	`batch_69f6760216108190bbb708d53a6c2c25`	completed	May 2, 2026, 10:09 p.m.

Created at: April 29, 2026, 7:42 p.m.