Triple
T8548947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kota language |
E202395
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Koṭa
Koṭa is a Dravidian language spoken by the indigenous Kota people in the Nilgiri Hills of southern India.
|
E748305
|
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: Koṭa | Statement: [Kota language, hasAlternativeName, Koṭa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koṭa Context triple: [Kota language, hasAlternativeName, Koṭa]
-
A.
Kawardha
Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
-
B.
Kot Diji
Kot Diji is an ancient archaeological and fort site in Sindh, Pakistan, known for its pre-Harappan settlement remains and well-preserved early 19th-century fort.
-
C.
Katra
Katra is a town in the Reasi district of Jammu and Kashmir, India, best known as the base camp for pilgrims visiting the Vaishno Devi shrine in the Trikuta Mountains.
-
D.
Kathiawari
Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
-
E.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
- 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: Koṭa Triple: [Kota language, hasAlternativeName, Koṭa]
Generated description
Koṭa is a Dravidian language spoken by the indigenous Kota people in the Nilgiri Hills of southern India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koṭa Target entity description: Koṭa is a Dravidian language spoken by the indigenous Kota people in the Nilgiri Hills of southern India.
-
A.
Kawardha
Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
-
B.
Kot Diji
Kot Diji is an ancient archaeological and fort site in Sindh, Pakistan, known for its pre-Harappan settlement remains and well-preserved early 19th-century fort.
-
C.
Katra
Katra is a town in the Reasi district of Jammu and Kashmir, India, best known as the base camp for pilgrims visiting the Vaishno Devi shrine in the Trikuta Mountains.
-
D.
Kathiawari
Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
-
E.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe753d3608190b0573477182cf194 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc6239a48190b8b4370341ec62c5 |
completed | April 2, 2026, 8:06 p.m. |
| NEDg | Description generation | batch_69cece14193081909e7b36f5b5b7da40 |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecee1db28819095f704b96b8c6d2a |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 6:19 p.m.