Triple

T26893325
Position Surface form Disambiguated ID Type / Status
Subject মাদ্রাজ E677835 entity
Predicate অবস্থিত_উপকূল P84004 FINISHED
Object করোম্যান্ডেল উপকূল
করোম্যান্ডেল উপকূল হলো ভারতের দক্ষিণ-পূর্বাঞ্চলে বঙ্গোপসাগরের তীরঘেঁষা একটি গুরুত্বপূর্ণ উপকূলীয় অঞ্চল, যেখানে চেন্নাই (প্রাক্তন মাদ্রাজ)সহ বহু বন্দরনগরী ও ঐতিহাসিক বাণিজ্যকেন্দ্র অবস্থিত।
 E1748614 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: করোম্যান্ডেল উপকূল | Statement: [মাদ্রাজ, অবস্থিত_উপকূল, করোম্যান্ডেল উপকূল]
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: করোম্যান্ডেল উপকূল
Triple: [মাদ্রাজ, অবস্থিত_উপকূল, করোম্যান্ডেল উপকূল]
Generated description
করোম্যান্ডেল উপকূল হলো ভারতের দক্ষিণ-পূর্বাঞ্চলে বঙ্গোপসাগরের তীরঘেঁষা একটি গুরুত্বপূর্ণ উপকূলীয় অঞ্চল, যেখানে চেন্নাই (প্রাক্তন মাদ্রাজ)সহ বহু বন্দরনগরী ও ঐতিহাসিক বাণিজ্যকেন্দ্র অবস্থিত।
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: অবস্থিত_উপকূল
Context triple: [মাদ্রাজ, অবস্থিত_উপকূল, করোম্যান্ডেল উপকূল]
  • A. locatedOnCoastAt chosen
    Indicates that one entity is situated on the coastline at the specific location represented by another entity.
  • B. usedOnCoastOf
    Indicates that something is utilized or applied in locations situated along the coast of a particular body of water.
  • C. basedOnCoast
    Indicates that something is situated along, adjacent to, or directly influenced by a coastline.
  • D. isPartOfCoastOf
    Indicates that one entity forms a segment or component of the coastline belonging to another entity.
  • E. locatedOnEasternShoreOf
    Indicates that one entity is situated on the eastern shore or bank of another geographic feature, such as a body of water or landform.
  • 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_69f6247480cc8190a887eedaeb94615c completed May 2, 2026, 4:21 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_69f623a7539c8190b71797f583da9f63 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 5:46 a.m.