Triple
T13661493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabini backwaters |
E327005
|
entity |
| Predicate | formedBy |
P972
|
FINISHED |
| Object | Kabini Dam |
E65068
|
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: Kabini Dam | Statement: [Kabini backwaters, formedBy, Kabini Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabini Dam Context triple: [Kabini backwaters, formedBy, Kabini Dam]
-
A.
Kabini Dam
chosen
Kabini Dam is a major reservoir and irrigation dam built across the Kabini River in Karnataka, India, supporting water supply, agriculture, and regional wildlife habitats.
-
B.
Bhavanisagar Dam
Bhavanisagar Dam is a major masonry dam in Tamil Nadu, India, known for irrigation, flood control, and hydroelectric power generation.
-
C.
Sanjeevaiah Sagar Dam
Sanjeevaiah Sagar Dam is a major irrigation and water storage structure built across the Penna River in the Indian state of Andhra Pradesh.
-
D.
Kolar Dam
Kolar Dam is a reservoir and irrigation structure built on the Kolar River in Madhya Pradesh, India, primarily used for water supply and agricultural purposes.
-
E.
Nizam Sagar Dam
Nizam Sagar Dam is a major irrigation and water-supply reservoir built across the Manjira River in the Indian state of Telangana.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc620df208190afaccf3ddd10aa60 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8c8e7988190bcd338bdeba0ae60 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:52 p.m.