Triple
T2846562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravi |
E62996
|
entity |
| Predicate | ancientName |
P2834
|
FINISHED |
| Object | Iravati |
E91841
|
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: Iravati | Statement: [Ravi, ancientName, Iravati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iravati Context triple: [Ravi, ancientName, Iravati]
-
A.
Iravati
chosen
Iravati is the ancient name of the Ravi River, one of the five major rivers of the Punjab region in South Asia.
-
B.
Sarayu
Sarayu is a significant river in northern India, traditionally associated with the ancient city of Ayodhya and revered in Hindu mythology.
-
C.
Ramavati
Ramavati was a principal urban center that served as the capital city of the medieval Pala Empire in the Indian subcontinent.
-
D.
Swati
Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
-
E.
Amravati
Amravati is a major city in the Vidarbha region of central India, known as an important commercial and educational center.
- 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_69b5335421348190a18cb74cdd885c82 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 6, 2026, 10:02 p.m.