Triple
T14495358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunga River |
E359481
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Krishna River |
E108869
|
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: Krishna River | Statement: [Tunga River, tributaryOf, Krishna River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krishna River Context triple: [Tunga River, tributaryOf, Krishna River]
-
A.
Krishna River
chosen
The Krishna River is one of the major rivers of southern India, flowing through Maharashtra, Karnataka, Telangana, and Andhra Pradesh before emptying into the Bay of Bengal.
-
B.
Krishni River
The Krishni River is a minor river in northern India that flows through parts of Uttar Pradesh and Haryana before joining the Hindon River.
-
C.
Siva River
The Siva River is a tributary waterway in Russia that feeds into the Kama River within the Volga basin.
-
D.
Chandra River
The Chandra River is a glacially fed mountain river in the Lahaul region of Himachal Pradesh, India, that flows through high-altitude valleys before joining the Bhaga River to help form the Chenab.
-
E.
Ranganadi River
The Ranganadi River is a significant tributary of the Brahmaputra in northeastern India, flowing through Arunachal Pradesh and Assam and supporting irrigation, hydropower, and local ecosystems.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7cccd548190b9ec93f9d9d2f2af |
completed | May 9, 2026, 4:27 a.m. |
Created at: April 10, 2026, 1:21 a.m.