Triple
T2846563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravi |
E62996
|
entity |
| Predicate | ancientName |
P2834
|
FINISHED |
| Object | Parushni |
E86204
|
NE FINISHED |
How this triple was built (2 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, ancientName, Parushni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parushni Context triple: [Ravi, ancientName, Parushni]
-
A.
Parushni
chosen
Parushni is the ancient Vedic name for the Ravi River, one of the major rivers of the northwestern Indian subcontinent.
-
B.
Shivini
Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
-
C.
Pranhita
Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
-
D.
Sucharita
Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
-
E.
Kauravi
Kauravi is a dialect of Hindi-Urdu historically spoken in the Delhi and western Uttar Pradesh region, considered a major basis for the standard Hindi register.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf3ebbac819090e2bf98ed9fbd02 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8dbdff88190b6c46cfd6ef54bb8 |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:02 p.m.