Triple
T686076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravi River |
E13285
|
entity |
| Predicate | ancientName |
P2834
|
FINISHED |
| Object |
Parushni
Parushni is the ancient Vedic name for the Ravi River, one of the major rivers of the northwestern Indian subcontinent.
|
E86204
|
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: Parushni | Statement: [Ravi River, ancientName, Parushni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parushni Context triple: [Ravi River, ancientName, Parushni]
-
A.
Pranhita
Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
-
B.
Ahirani
Ahirani is an Indo-Aryan dialect spoken primarily in the Khandesh region of Maharashtra, India, closely related to Marathi but with distinct phonological and lexical features.
-
C.
Ponna
Ponna was a prominent 10th-century Kannada poet of the Rashtrakuta court, renowned for his Jain devotional and classical literary works.
-
D.
Shira
Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
-
E.
Manjira
Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
- 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: Parushni Triple: [Ravi River, ancientName, Parushni]
Generated description
Parushni is the ancient Vedic name for the Ravi River, one of the major rivers of the northwestern Indian subcontinent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parushni Target entity description: Parushni is the ancient Vedic name for the Ravi River, one of the major rivers of the northwestern Indian subcontinent.
-
A.
Pranhita
Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
-
B.
Ahirani
Ahirani is an Indo-Aryan dialect spoken primarily in the Khandesh region of Maharashtra, India, closely related to Marathi but with distinct phonological and lexical features.
-
C.
Ponna
Ponna was a prominent 10th-century Kannada poet of the Rashtrakuta court, renowned for his Jain devotional and classical literary works.
-
D.
Shira
Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
-
E.
Manjira
Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0924dec8190bbbd2bb244f85211 |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6374ee9ac819091abef4167e3433e |
completed | March 3, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69a639ae1efc8190ba546164d8279c28 |
completed | March 3, 2026, 1:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a63a2eacc0819080a7056cc54a1264 |
completed | March 3, 2026, 1:32 a.m. |
Created at: March 1, 2026, 7:36 p.m.