Triple

T26893318
Position Surface form Disambiguated ID Type / Status
Subject মাদ্রাজ E677835 entity
Predicate পরিচিতি P149747 FINISHED
Object অটোমোবাইল শিল্পকেন্দ্র
অটোমোবাইল শিল্পকেন্দ্র হলো এমন একটি শিল্পাঞ্চল বা নগরকেন্দ্র, যেখানে গাড়ি ও সংশ্লিষ্ট যন্ত্রাংশের নকশা, উৎপাদন ও সংযোজনকে ঘিরে বৃহৎ পরিসরের শিল্প ও অর্থনৈতিক কার্যক্রম গড়ে উঠেছে।
 E1748613 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: অটোমোবাইল শিল্পকেন্দ্র | Statement: [মাদ্রাজ, পরিচিতি, অটোমোবাইল শিল্পকেন্দ্র]
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: অটোমোবাইল শিল্পকেন্দ্র
Triple: [মাদ্রাজ, পরিচিতি, অটোমোবাইল শিল্পকেন্দ্র]
Generated description
অটোমোবাইল শিল্পকেন্দ্র হলো এমন একটি শিল্পাঞ্চল বা নগরকেন্দ্র, যেখানে গাড়ি ও সংশ্লিষ্ট যন্ত্রাংশের নকশা, উৎপাদন ও সংযোজনকে ঘিরে বৃহৎ পরিসরের শিল্প ও অর্থনৈতিক কার্যক্রম গড়ে উঠেছে।
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: পরিচিতি
Context triple: [মাদ্রাজ, পরিচিতি, অটোমোবাইল শিল্পকেন্দ্র]
  • A. الهوية
    Indicates that two entities are identical, representing the relation of identity or sameness between them.
  • B. identifiedIn chosen
    Indicates that an entity is recognized, discovered, or documented within a specified source, context, or location.
  • C. inscriptionKnownAs
    Indicates that an inscription is referred to or identified by a particular name, label, or designation.
  • D. subjectOfIntroduction
    Indicates that one entity is the topic or focus being introduced by another entity.
  • E. identityRevealedIn
    Indicates that an entity’s true identity becomes known or disclosed within a specified context, source, or situation.
  • 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_69f61fd623bc819091df736cf3419b99 completed May 2, 2026, 4:01 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_69f61b3d23f481908dfec27adace900a completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 5:46 a.m.