Triple

T33053871
Position Surface form Disambiguated ID Type / Status
Subject National Parade Ground, Dhaka E845798 entity
Predicate BengaliName P25995 FINISHED
Object জাতীয় প্যারেড গ্রাউন্ড
জাতীয় প্যারেড গ্রাউন্ড হলো বাংলাদেশের রাজধানী ঢাকায় অবস্থিত একটি গুরুত্বপূর্ণ উন্মুক্ত ময়দান, যেখানে জাতীয় দিবসের কুচকাওয়াজ, রাষ্ট্রীয় অনুষ্ঠান ও বৃহৎ জনসমাবেশ অনুষ্ঠিত হয়।
 E2033940 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: জাতীয় প্যারেড গ্রাউন্ড | Statement: [National Parade Ground, Dhaka, BengaliName, জাতীয় প্যারেড গ্রাউন্ড]
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: জাতীয় প্যারেড গ্রাউন্ড
Triple: [National Parade Ground, Dhaka, BengaliName, জাতীয় প্যারেড গ্রাউন্ড]
Generated description
জাতীয় প্যারেড গ্রাউন্ড হলো বাংলাদেশের রাজধানী ঢাকায় অবস্থিত একটি গুরুত্বপূর্ণ উন্মুক্ত ময়দান, যেখানে জাতীয় দিবসের কুচকাওয়াজ, রাষ্ট্রীয় অনুষ্ঠান ও বৃহৎ জনসমাবেশ অনুষ্ঠিত হয়।
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: BengaliName
Context triple: [National Parade Ground, Dhaka, BengaliName, জাতীয় প্যারেড গ্রাউন্ড]
  • A. nameInBengali chosen
    Indicates that an entity’s name is expressed in the Bengali language.
  • B. nameInAssamese
    Indicates that an entity has a specific name expressed in the Assamese language.
  • C. nameInHindi
    Indicates that one entity is the Hindi-language name or label corresponding to another entity.
  • D. hasNameInOdia
    Indicates that an entity is associated with a specific name expressed in the Odia language.
  • E. titleInBengaliScript
    Indicates that the title of an entity is written or represented in the Bengali script.
  • 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_69f3495242e48190996a2cb2beab5455 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34e51e273c81908ee360c0d6adc183 completed June 19, 2026, 6:43 a.m.
NEDg Description generation batch_6a34e60ea2148190aca7cc32e7d2b9d9 completed June 19, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_6a34e6d3261c81908ab8544cc644b03a completed June 19, 2026, 6:50 a.m.
PD Predicate disambiguation batch_69f6d27120988190aacec621cf2bf0e8 completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:24 a.m.