Triple

T26893326
Position Surface form Disambiguated ID Type / Status
Subject মাদ্রাজ E677835 entity
Predicate সমুদ্রসৈকত P76265 FINISHED
Object মেরিনা বিচ
মেরিনা বিচ হলো ভারতের চেন্নাই (প্রাক্তন মাদ্রাজ) শহরে অবস্থিত বঙ্গোপসাগর তীরবর্তী দীর্ঘতম নগর সমুদ্রসৈকতগুলোর একটি, যা ভ্রমণ, বিনোদন ও সূর্যাস্ত উপভোগের জন্য বিখ্যাত।
E1748615 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: মেরিনা বিচ | Statement: [মাদ্রাজ, সমুদ্রসৈকত, মেরিনা বিচ]
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: মেরিনা বিচ
Triple: [মাদ্রাজ, সমুদ্রসৈকত, মেরিনা বিচ]
Generated description
মেরিনা বিচ হলো ভারতের চেন্নাই (প্রাক্তন মাদ্রাজ) শহরে অবস্থিত বঙ্গোপসাগর তীরবর্তী দীর্ঘতম নগর সমুদ্রসৈকতগুলোর একটি, যা ভ্রমণ, বিনোদন ও সূর্যাস্ত উপভোগের জন্য বিখ্যাত।
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: সমুদ্রসৈকত
Context triple: [মাদ্রাজ, সমুদ্রসৈকত, মেরিনা বিচ]
  • A. seaOf chosen
    Indicates a relationship where one entity is metaphorically or literally surrounded or filled by another like a vast sea, emphasizing overwhelming abundance or expansiveness.
  • B. Waterline
    Indicates the level or line on an object or surface that marks where water reaches or has reached.
  • C. من السور
    Indicates a relationship where something originates from, is taken from, or is part of a specific wall or fence.
  • D. endSea
    Indicates that something marks the boundary or termination point of a sea or sea area.
  • E. قبلة
    Indicates a kissing action or gesture occurring between entities.
  • 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_69eee9befee48190a26f214faa867be7 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61f69e4508190ab20c3f2052282e7 completed May 2, 2026, 3:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121ea2fa008190913b10dedb3b67a6 completed May 23, 2026, 9:39 p.m.
NEDg Description generation batch_6a121f90eec08190bd18be556349e464 completed May 23, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_6a1220621c4c81909da5a95967d52202 completed May 23, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69f611af72ac819094598dd2530d7411 completed May 2, 2026, 3:01 p.m.
Created at: April 27, 2026, 5:46 a.m.