Triple

T26198530
Position Surface form Disambiguated ID Type / Status
Subject Sukaphaa E655170 entity
Predicate nameInAssamese P160033 FINISHED
Object চুকাফা
চুকাফা ছিলেন আহোম সাম্রাজ্যের প্রতিষ্ঠাতা এবং আসামের ইতিহাসে এক গুরুত্বপূর্ণ ঐতিহাসিক শাসক।
 E1715979 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: চুকাফা | Statement: [Sukaphaa, nameInAssamese, চুকাফা]
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: চুকাফা
Triple: [Sukaphaa, nameInAssamese, চুকাফা]
Generated description
চুকাফা ছিলেন আহোম সাম্রাজ্যের প্রতিষ্ঠাতা এবং আসামের ইতিহাসে এক গুরুত্বপূর্ণ ঐতিহাসিক শাসক।
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nameInAssamese
Context triple: [Sukaphaa, nameInAssamese, চুকাফা]
  • A. nameInBengali
    Indicates that an entity’s name is expressed in the Bengali language.
  • B. nameInSakha
    Indicates that an entity is referred to by a particular name in the Sakha (Yakut) language.
  • C. nameInTibetan
    Indicates that an entity’s name is expressed or written in the Tibetan language.
  • D. nameInHindi
    Indicates that one entity is the Hindi-language name or label corresponding to another entity.
  • E. nameInTamil
    Indicates that an entity’s name is expressed or written in the Tamil language.
  • F. None of above. chosen

Provenance (7 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_69ee5b48236c81908fe385b6afc4f60b completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60cd8c4608190bdf0cc6142264239 completed May 2, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11858057d08190a1dc0b8898b82653 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11868d16508190ae8827d4b07f0192 completed May 23, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a11876410f4819091b6b45abd657f54 completed May 23, 2026, 10:54 a.m.
PD Predicate disambiguation batch_69f5b007ec1c819092e2c3605933f60b completed May 2, 2026, 8:04 a.m.
PDg Predicate description generation batch_69f5f6b32a8881909baa0db57b80d56a completed May 2, 2026, 1:05 p.m.
Created at: April 26, 2026, 8:47 p.m.