Triple

T31645239
Position Surface form Disambiguated ID Type / Status
Subject Arabhi E807567 entity
Predicate thaatEquivalentInHindustani P172050 FINISHED
Object Bilawal
Bilawal is a major Hindustani classical raga and parent thaat known for its bright, serene character and use of all natural (shuddha) notes.
 E1970916 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: Bilawal | Statement: [Arabhi, thaatEquivalentInHindustani, Bilawal]
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: Bilawal
Triple: [Arabhi, thaatEquivalentInHindustani, Bilawal]
Generated description
Bilawal is a major Hindustani classical raga and parent thaat known for its bright, serene character and use of all natural (shuddha) notes.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: thaatEquivalentInHindustani
Context triple: [Arabhi, thaatEquivalentInHindustani, Bilawal]
  • A. equivalentIn
    Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
  • B. equivalentInTibet
    Indicates that two entities are considered equivalent or correspond to each other within the context of Tibet.
  • C. languageEquivalent
    Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
  • D. correspondsToInArabic
    Indicates that one entity is the equivalent or matching counterpart of another entity specifically in the Arabic language.
  • E. hasQuranicEquivalent
    Indicates that something has a corresponding or analogous concept, term, or passage found in the Quran.
  • 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_69f348d9ce58819093ea2da83cbeeec1 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a956e9b08190bf83547bba8e8147 completed May 3, 2026, 1:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b79df559c819098e635fcb632e607 completed June 12, 2026, 3:15 a.m.
NEDg Description generation batch_6a2b7a9bed2881908e5ca2d02afeaeff completed June 12, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a2b7b3574f881908e98863d147351de completed June 12, 2026, 3:21 a.m.
PD Predicate disambiguation batch_69f6a757c6e081908e37631e5d8d246b completed May 3, 2026, 1:39 a.m.
PDg Predicate description generation batch_69f6a8036ab481908019f2f071fa406e completed May 3, 2026, 1:42 a.m.
Created at: April 30, 2026, 10:50 p.m.