Triple
T3115014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhattisgarhi |
E65041
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Kawardha
Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
|
E332952
|
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: Kawardha | Statement: [Chhattisgarhi, hasDialects, Kawardha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawardha Context triple: [Chhattisgarhi, hasDialects, Kawardha]
-
A.
Kharadi
Kharadi is a rapidly developing suburb in Pune, India, known as a major IT and business hub with modern infrastructure and residential complexes.
-
B.
Dhar
Dhar is a historic town and administrative center in the Indian state of Madhya Pradesh, known for its medieval forts, Islamic architecture, and cultural heritage.
-
C.
Dahanapura
Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
-
D.
Khargone
Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar region.
-
E.
Barvikha
Barvikha is an affluent suburban settlement west of Moscow, known for its luxury residences, elite dachas, and high-profile residents from Russia’s political and business elite.
- 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: Kawardha Triple: [Chhattisgarhi, hasDialects, Kawardha]
Generated description
Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kawardha Target entity description: Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
-
A.
Kharadi
Kharadi is a rapidly developing suburb in Pune, India, known as a major IT and business hub with modern infrastructure and residential complexes.
-
B.
Dhar
Dhar is a historic town and administrative center in the Indian state of Madhya Pradesh, known for its medieval forts, Islamic architecture, and cultural heritage.
-
C.
Dahanapura
Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
-
D.
Khargone
Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar region.
-
E.
Barvikha
Barvikha is an affluent suburban settlement west of Moscow, known for its luxury residences, elite dachas, and high-profile residents from Russia’s political and business elite.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e40bc48190b9b17c706a2450d5 |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235a8949881908496a1413ffa2658 |
completed | March 12, 2026, 3:40 a.m. |
| NEDg | Description generation | batch_69b236962ee48190b37836e5fe6dbc37 |
completed | March 12, 2026, 3:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b237397e14819093a7192d28c59ad1 |
completed | March 12, 2026, 3:47 a.m. |
Created at: March 8, 2026, 3:04 p.m.