Triple
T16919714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravi River |
E410412
|
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 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.
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.
Sharmishta
Sharmishta is the full given name of Shami Chakrabarti, a prominent British barrister and human rights advocate.
-
D.
Pranhita
Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
-
E.
Bhadrika
Bhadrika is a disciple mentioned in Buddhist tradition as one of the listeners present when the Buddha delivered his seminal Turning of the Wheel of Dharma discourse.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cded2f8481909a20cc08b47e922e |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7c2c9cc8190b6d59d0a8edd078d |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.