Triple

T8072639
Position Surface form Disambiguated ID Type / Status
Subject Kaithi script E188410 entity
Predicate ISO15924Code P208 FINISHED
Object Kthi
Kthi is the ISO 15924 four-letter code assigned to the Kaithi script used historically for writing several languages of northern India.
E710288 NE FINISHED

How this triple was built (4 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: Kthi | Statement: [Kaithi script, ISO15924Code, Kthi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kthi
Context triple: [Kaithi script, ISO15924Code, Kthi]
  • A. Khenthap
    Khenthap was an early ancient Egyptian queen, likely of the 1st Dynasty, known primarily as the consort of King Hor-Aha and possibly the mother of his successor.
  • B. Khortha
    Khortha is an Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional vernacular among local communities.
  • C. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • D. Kiphire
    Kiphire is a town and administrative district headquarters in the northeastern Indian state of Nagaland, known for its hilly terrain and proximity to Mount Saramati.
  • E. Othomi
    Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Kthi
Triple: [Kaithi script, ISO15924Code, Kthi]
Generated description
Kthi is the ISO 15924 four-letter code assigned to the Kaithi script used historically for writing several languages of northern India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kthi
Target entity description: Kthi is the ISO 15924 four-letter code assigned to the Kaithi script used historically for writing several languages of northern India.
  • A. Khenthap
    Khenthap was an early ancient Egyptian queen, likely of the 1st Dynasty, known primarily as the consort of King Hor-Aha and possibly the mother of his successor.
  • B. Khortha
    Khortha is an Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional vernacular among local communities.
  • C. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • D. Kiphire
    Kiphire is a town and administrative district headquarters in the northeastern Indian state of Nagaland, known for its hilly terrain and proximity to Mount Saramati.
  • E. Othomi
    Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
  • F. None of above. chosen

Provenance (5 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40482200819086c639f64c01fbb5 completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63ecb04881909b1849dc4ef7c2bc completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651d340c819089306bac7110f57a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc666ecc04819092ee4cc035dde627 completed April 1, 2026, 12:27 a.m.
Created at: March 30, 2026, 5:27 p.m.