Triple
T9319129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kharia language |
E224200
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Hill Kharia
Hill Kharia is a dialect of the Kharia language spoken by Kharia communities in hilly regions of eastern India.
|
E791845
|
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: Hill Kharia | Statement: [Kharia language, hasDialects, Hill Kharia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hill Kharia Context triple: [Kharia language, hasDialects, Hill Kharia]
-
A.
Kripalani
Kripalani is an Indian surname most prominently associated with J. B. Kripalani, a key leader in India’s independence movement and former president of the Indian National Congress.
-
B.
Banwari Lal
Banwari Lal was an Indian revolutionary involved in the Kakori train robbery, a notable act of resistance against British colonial rule in the 1920s.
-
C.
Ashok Chandra
Ashok Chandra is a computer scientist known for his contributions to theoretical computer science and complexity theory.
-
D.
Rana Kirat Singh
Rana Kirat Singh was the ruler who established the princely state of Dholpur in northern India.
-
E.
Ashok Dinda
Ashok Dinda is an Indian fast bowler who played domestic cricket for Bengal and represented India in both One Day Internationals and Twenty20 Internationals.
- 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: Hill Kharia Triple: [Kharia language, hasDialects, Hill Kharia]
Generated description
Hill Kharia is a dialect of the Kharia language spoken by Kharia communities in hilly regions of eastern India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hill Kharia Target entity description: Hill Kharia is a dialect of the Kharia language spoken by Kharia communities in hilly regions of eastern India.
-
A.
Kripalani
Kripalani is an Indian surname most prominently associated with J. B. Kripalani, a key leader in India’s independence movement and former president of the Indian National Congress.
-
B.
Banwari Lal
Banwari Lal was an Indian revolutionary involved in the Kakori train robbery, a notable act of resistance against British colonial rule in the 1920s.
-
C.
Ashok Chandra
Ashok Chandra is a computer scientist known for his contributions to theoretical computer science and complexity theory.
-
D.
Rana Kirat Singh
Rana Kirat Singh was the ruler who established the princely state of Dholpur in northern India.
-
E.
Ashok Dinda
Ashok Dinda is an Indian fast bowler who played domestic cricket for Bengal and represented India in both One Day Internationals and Twenty20 Internationals.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358c7d348190a10fd8670d7756f5 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7c1fc848190bbb3ef6a1ed7a7d2 |
completed | April 4, 2026, 8:11 a.m. |
| NEDg | Description generation | batch_69d0ca049fdc819091e101d8cdcfb7e8 |
completed | April 4, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0cc6239108190b921eface5cdd543 |
completed | April 4, 2026, 8:31 a.m. |
Created at: March 30, 2026, 7:38 p.m.