Triple
T18836512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katni district |
E460678
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Katni River |
E460679
|
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: Katni River | Statement: [Katni district, hasRiver, Katni River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katni River Context triple: [Katni district, hasRiver, Katni River]
-
A.
Katni River
chosen
The Katni River is a tributary of the Mahanadi River system in central India, flowing through Madhya Pradesh and lending its name to the city of Katni.
-
B.
Tooma River
The Tooma River is a snow-fed river in the Snowy Mountains of New South Wales, Australia, that forms part of the Snowy Mountains Scheme’s network of diverted alpine waterways.
-
C.
Kagini River
Kagini River is a tributary watercourse in India that feeds into the larger Bhima River system.
-
D.
Cheat River
Cheat River is a scenic tributary of the Monongahela River in northern West Virginia, known for its rugged canyon, whitewater rafting, and outdoor recreation opportunities.
-
E.
Imperial River
The Imperial River is a significant waterway in southern Chile that flows through the Araucanía Region before emptying into the Pacific Ocean.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99e86388190957acaaab401b5cb |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05676b320481909bea3533d2c7fc27 |
completed | May 14, 2026, 6:10 a.m. |
Created at: April 10, 2026, 11:56 a.m.