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.