Triple
T1486556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karnataka |
E29477
|
entity |
| Predicate | regionalLanguage |
P237
|
FINISHED |
| Object |
Kodava
Kodava is a Dravidian language spoken primarily by the Kodava (Coorg) community in the Kodagu district of Karnataka, India.
|
E169791
|
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: Kodava | Statement: [Karnataka, regionalLanguage, Kodava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kodava Context triple: [Karnataka, regionalLanguage, Kodava]
-
A.
Karinska
Karinska was a renowned 20th-century costume designer best known for her influential work in ballet and theater, particularly with the New York City Ballet.
-
B.
Riasti
Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
-
C.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
D.
Kutaisi
Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
-
E.
Katchal
Katchal is a dialect of the Nicobarese language spoken by the indigenous community on Katchal Island in India’s Nicobar Islands.
- 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: Kodava Triple: [Karnataka, regionalLanguage, Kodava]
Generated description
Kodava is a Dravidian language spoken primarily by the Kodava (Coorg) community in the Kodagu district of Karnataka, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kodava Target entity description: Kodava is a Dravidian language spoken primarily by the Kodava (Coorg) community in the Kodagu district of Karnataka, India.
-
A.
Karinska
Karinska was a renowned 20th-century costume designer best known for her influential work in ballet and theater, particularly with the New York City Ballet.
-
B.
Riasti
Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
-
C.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
D.
Kutaisi
Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
-
E.
Katchal
Katchal is a dialect of the Nicobarese language spoken by the indigenous community on Katchal Island in India’s Nicobar Islands.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a3325881909bbc55efc04ad60f |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15b5aa348190bf6d7a3177eacaff |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad192ac37c819081aa4bb32e3564d8 |
completed | March 8, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad19ab136081909c52731e346f2efb |
completed | March 8, 2026, 6:39 a.m. |
Created at: March 1, 2026, 8:12 p.m.