Triple
T7308749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Srimanta Sankardev |
E168039
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object |
Gunamala
Gunamala is a concise Assamese devotional scripture that encapsulates the essence of the Bhagavata Purana, composed by the saint-scholar Srimanta Sankardev.
|
E657087
|
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: Gunamala | Statement: [Srimanta Sankardev, wrote, Gunamala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunamala Context triple: [Srimanta Sankardev, wrote, Gunamala]
-
A.
Nandigrama
Nandigrama is the kingdom or region traditionally associated with and ruled by the legendary Indian emperor Bharata in ancient Hindu literature.
-
B.
Chenchukuli
Chenchukuli is an alternative name for the Chenchu language, a Dravidian language spoken by the Chenchu people of India.
-
C.
Nanakramguda
Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
-
D.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
E.
Narayanavanam
Narayanavanam is a small town in the Tirupati district of Andhra Pradesh, India, known for its historic temples and religious significance.
- 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: Gunamala Triple: [Srimanta Sankardev, wrote, Gunamala]
Generated description
Gunamala is a concise Assamese devotional scripture that encapsulates the essence of the Bhagavata Purana, composed by the saint-scholar Srimanta Sankardev.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gunamala Target entity description: Gunamala is a concise Assamese devotional scripture that encapsulates the essence of the Bhagavata Purana, composed by the saint-scholar Srimanta Sankardev.
-
A.
Nandigrama
Nandigrama is the kingdom or region traditionally associated with and ruled by the legendary Indian emperor Bharata in ancient Hindu literature.
-
B.
Chenchukuli
Chenchukuli is an alternative name for the Chenchu language, a Dravidian language spoken by the Chenchu people of India.
-
C.
Nanakramguda
Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
-
D.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
E.
Narayanavanam
Narayanavanam is a small town in the Tirupati district of Andhra Pradesh, India, known for its historic temples and religious significance.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebda7b748190a230a22ecea79342 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eeeaa7488190adb55df8705e0952 |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7ef95787c819086684c4286166b43 |
completed | March 28, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f0644ebc8190971075d75e3a76d0 |
completed | March 28, 2026, 3:14 p.m. |
Created at: March 27, 2026, 3:01 p.m.