Triple
T7127304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akola |
E166095
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Purna River |
E691803
|
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: Purna River | Statement: [Akola, river, Purna River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Purna River Context triple: [Akola, river, Purna River]
-
A.
Purna River
chosen
The Purna River is a significant river in central India that drains parts of Maharashtra and Madhya Pradesh before joining the Tapti River.
-
B.
Gurupura River
The Gurupura River is a significant waterway in the Indian state of Karnataka that flows through and alongside the coastal city of Mangalore before joining the Arabian Sea.
-
C.
Narayani River
The Narayani River is a major river in central Nepal that flows along the edge of Chitwan National Park and forms part of the Ganges river system.
-
D.
Pranhita River
The Pranhita River is a major tributary of the Godavari River in central India, flowing along the border of Maharashtra and Telangana and supporting rich biodiversity and irrigation in the region.
-
E.
Swarnamukhi River
Swarnamukhi River is a river in the southern Indian state of Andhra Pradesh, known for flowing through temple towns like Tirupati and Srikalahasti before draining into the Bay of Bengal.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64ee8ac81909ee1c7cb1db3af33 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbd5d671481908ecbdb8ce6ef898a |
completed | April 1, 2026, 6:38 a.m. |
Created at: March 27, 2026, 2:44 p.m.